{ "updated": "2026-10-09T09:56:48.034Z", "lastRun": { "at": "2026-10-09T09:56:48.034Z", "seen": 35, "new": 0, "archived": 0, "reopened": 0, "duplicates": 0, "boardsOk": 85, "boardsFailed": 1, "boardsTotal": 86, "dropped": 12051, "droppedBelowFloor": 0, "detailFetches": 23, "evidenceAdded": 0 }, "jobs": [ { "source": "gh", "company": "Databricks", "companySlug": "databricks", "jobId": "8679982002", "title": "Sr Software Engineer - Agentic Applications (Full Stack)", "locationRaw": "Bengaluru, India", "locations": [ "Bengaluru, India" ], "mode": null, "url": "https://databricks.com/company/careers/open-positions/job?gh_jid=8679982002", "postedAt": "2026-08-21", "description": "GAQ226R75 About the Role We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness. Key Responsibilities: Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling. Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action. Design and develop a high-performance React application for the agent's user interface. Collaborate with backend teams to integrate APIs and services, and build tools for agents. Work with middleware (Python/Node.js) to orchestrate agent calls and data flow. Implement comprehensive observability and tracing for agent runs and system performance. Build reusable, scalable UI components. Optimise application performance, responsiveness, and scalability. Participate in architectural discussions and contribute to solution design. Write clean, maintainable, and testable code with proper documentation. Required Skills & Experience 5+ years of experience in full-stack development, with strong expertise in Python and React.js . Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application . Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities. Experience with agent frameworks like LangChain or LangGraph , including implementing reasoning patterns like the ReAct loop . Experience with observability, logging, and tracing for AI agents. Experience building large-scale, enterprise-grade applications. Strong experience with API integration (REST/GraphQL). Experience working in Agile/Scrum environments. Strong problem-solving and system design skills Ability to work across frontend and backend integration layers Ownership mindset with attention to detail Good communication and collaboration skills Preferred / Good to Have Experience with Node.js or Python for middleware development Understanding of Salesforce APIs (REST, Apex, RLM/CPQ) Experience with event-driven architectures (webhooks, CDC, async processing) Knowledge of CI/CD pipelines and DevOps practices Experience with Databricks platform and Mosaic AI About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. 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GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Frontend Engineer An overview of this role As a Senior Frontend Engineer, you'll solve high-scope frontend problems and influence your team's technical and product direction. You'll ship moderately sized features with minimal guidance, improve quality and performance, mentor other engineers, and help establish standards for a high-scale web environment. You'll partner across product, design, backend, and frontend to make sound trade-offs, communicate clearly, and improve how the team delivers software. This is an opportunity to shape product experiences and frontend architecture for a global platform while helping define how modern frontend teams use agentic artificial intelligence. You'll apply artificial intelligence-assisted engineering workflows thoughtfully and help create trustworthy user experiences that incorporate artificial intelligence responsibly in a remote-first, asynchronous organization. What you’ll do Design and ship moderately sized frontend features and improvements with minimal guidance, making pragmatic architectural choices. Turn ambiguous customer and product needs into clear technical plans and intuitive, accessible experiences. Advocate for product quality, security, accessibility, performance, maintainability, and operational readiness throughout the development lifecycle. Establish and improve practices for frontend architecture, styling, component design, testing, observability, maintainable code, and thoughtful use of artificial intelligence and agentic tools in production engineering work. Mentor Associate and Intermediate Engineers, share knowledge, remove technical blockers, and improve team delivery practices. Diagnose and prevent frontend performance and reliability issues at scale using observability and production signals, and participate in incident response or on-call responsibilities under your team's ownership model. Design or review independently buildable frontend surfaces and explicit contracts for data, events, authorization, feature flags, error handling, testing, and performance expectations. Collaborate with product, design, backend, quality, security, and other teams to deliver cohesive customer outcomes. What you’ll bring Experience applying frontend architecture, browser behavior, testing, accessibility, performance, and maintainability practices in a complex product or platform environment. Experience designing or evolving modular frontend boundaries, independently buildable surfaces, component systems, or migration-safe architectures. 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GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Software Engineer, you'll build and deliver autonomous, agentic software development lifecycle capabilities for GitLab's engineering teams. You'll lead technical execution, mentor other engineers, and work closely with Product Managers, engineers, and AI and machine learning partners. You'll turn complex requirements into robust, secure, and performant AI-driven solutions, with a focus on high-quality code, reliable systems, measurable performance, and safe use of AI across the software development lifecycle. What you’ll do Build autonomous, agentic software development lifecycle features that support team goals and GitLab's product roadmap. Develop and deploy AI agents that automate engineering tasks such as merge request authoring, test generation, and security remediation. Collaborate with Product and AI and machine learning teams to break down complex requirements and deliver solutions iteratively. Write clean, maintainable code and conduct thorough code reviews to support the quality and safety of agentic workflows. Build and maintain orchestration patterns and safety guardrails for AI services. Measure and improve the performance, latency, and correctness of AI-driven features using defined evaluation frameworks. Participate in on-call rotations and debug complex issues involving AI services and autonomous agents. Follow GitLab's security, compliance, and data governance standards while contributing to documentation, playbooks, reusable libraries, and the growth of other engineers. What you’ll bring Experience building and shipping production-grade software applications, including transferable experience from related engineering domains. Experience with AI and machine learning application programming interfaces, large language models, or agentic frameworks in a web development context. Proficiency in a modern programming language such as Ruby, Go, or Python, along with experience working with distributed systems. Strong understanding of the software development lifecycle, continuous integration and continuous delivery, and developer tools. Experience with testing frameworks, observability tools, and performance monitoring. Ability to communicate technical concepts clearly and collaborate across functions. Experience writing maintainable code, reviewing others' work, and supporting secure, reliable systems. Ability to mentor junior and intermediate engineers and help them develop their technical skills and understanding of AI patterns. 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GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Frontend Engineer An overview of this role As a Staff Frontend Engineer on the Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll solve complex frontend problems, deliver large features with minimal guidance, and improve the architecture and standards that help teams move faster without compromising quality. You'll work with product, design, engineering managers, and engineers across product groups to shape product experiences and frontend architecture for a global platform. This includes how teams use agentic artificial intelligence in engineering workflows and user experiences. At GitLab, we build an all-remote, artificial intelligence-powered DevSecOps platform. You'll help shape product experiences and frontend architecture that enable everyone to contribute to and co-create the software that powers our world. What you’ll do Lead the technical design and delivery of large, complex frontend initiatives across multiple teams. Drive frontend platform, design system, and shared architecture strategy for long-term scalability. Define and improve standards for versioning, testing, documentation, accessibility, security, performance, and maintainability. Lead modernization of a monolith or legacy frontend architecture toward modular, reusable, and independently deployable systems. Establish versioned module or host contracts and build, test, deploy, release, and rollback practices for safe operations. Create shared patterns for dependency management, design system integration, observability, error isolation, and performance budgets. Guide technical direction through clear written proposals and architectural leadership. Partner with product and engineering leaders on platform roadmaps, technical debt, and investment trade-offs. Mentor senior and intermediate engineers. Establish guardrails for artificial-intelligence-assisted and agentic workflows that protect code quality, security, privacy, and evaluation standards. What you’ll bring A sustained record of technical leadership across teams or a broad product area. Deep frontend architecture and production experience in complex web applications. Experience scaling or governing a design system, frontend platform, or shared component architecture. Experience with modular frontend architecture in production, such as package encapsulation, Web Components, frontend islands, runtime composition, or an equivalent architecture. 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Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.  Co-create the future with us  as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability. This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority. Why you’ll love this role Leverage:  Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship. Genuinely Hard Problems:  You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users. 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What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for product engineers to help build the future of AI Agents at work. In this role, you will work across product, AI, and platform to help users build, evaluate, self-improve, deploy, and operate powerful agents inside Glean. This is a highly cross-functional role for engineers who like owning user-facing product experiences end to end while staying close to the underlying systems that make those experiences work. You will help shape how users create agents, how those agents run in auto-mode or independently , how they are evaluated and improved over time, and how we make them reliable, safe, and easy to deploy at scale. The role provides ample opportunities to work on some of the most important challenges in modern AI product development: building intuitive agent-authoring experiences, designing strong eval and feedback loops, enabling self-improvement flows, defining safe and scalable deployment patterns, and making complex agent behavior feel understandable, controllable, and effective for end users. Like the original role, this team values strong technical execution, customer impact, reliability, and thoughtful tradeoffs between speed, quality, and system cost. You will: Build end-to-end product experiences that help users create and configure AI agents for real work. Design and ship workflows that help users evaluate agent quality, inspect results, and understand failure modes. Build product loops that help agents improve over time through feedback, evals, optimization, and self-improvement primitives. Help users deploy and operate both auto-mode agents and more independent agents with the right guardrails, controls, and visibility. Work across frontend, backend, prompting, harness behaviour, infrastructure and product systems to turn agent capabilities into polished user experiences. 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What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is looking for Backend/Infrastructure engineers to build the platform that makes enterprise agents safe, discoverable, reliable, and governable at scale. You will work on agent publishing, sharing, moderation, policy enforcement, permissions, versioning, observability, and spend management. This is a distributed-systems and security-sensitive problem spanning platform infrastructure, product systems, and enterprise administration. You will own problems from definition and architecture through production launch and operation, turning ambiguous requirements into durable platform primitives. You will: As a Software Engineer at Glean, Own impactful systems from design through reliable production operation. Write clear design documents and make sound tradeoffs across security, reliability, performance, user experience, and cost. Build well-tested backend services and platform components with strong correctness and operational guarantees. Solve distributed-systems problems involving consistency, idempotency, retries, ordering, migrations, and safe rollout. Partner with Product, Security, Infrastructure, and customer-facing teams to turn enterprise needs into scalable capabilities. Make governance decisions auditable: who changed what, which policy applied, why access was allowed or denied, and what happened during a run. Improve monitoring, alerting, debugging, incident response, and operational maturity. Mentor engineers and help shape the roadmap around the highest-leverage platform problems. About you: BA/BS in computer science, or related degree 6+ years building production backend, infrastructure, or cloud-native systems. Strong coding skills in Go, Python, Java, C++, or a similar language. Experience with distributed systems, APIs, storage, asynchronous workflows, or control planes. 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What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Team Building a great AI assistant is only half the battle; knowing whether it is actually great is the other half.  The Evals & Observability team owns the measurement and quality layer that makes Glean’s Assistant and Agents reliably better over time: evaluation pipelines, quality evalsets, LLM-powered judges, agent observability, and the tooling engineers use to understand what changed and why. This is a rare opportunity to work at the intersection of distributed systems, data infrastructure, applied AI, and product quality.  You will help build the systems that decide whether new models, prompts, retrieval strategies, and agent workflows are ready to ship to enterprise customers. About the Role We are looking for backend and infrastructure engineers in Bangalore to build the platforms that measure, explain, and improve AI quality at scale. You will own core systems for running large-scale evaluations, processing traces, powering observability workflows, and giving engineers clear signals about assistant and agent behavior — including how Glean evaluates frontier model releases and the latest open-source model drops before they shape customer-facing AI experiences. This role is ideal for someone who loves building reliable distributed systems, cares deeply about product quality, and wants their infrastructure work to directly shape how AI products are shipped. You will work on systems that need to be scalable, secure, permissions-aware, fast, and cost-efficient. You will Design and build large-scale evaluation pipelines that measure assistant and agent quality across thousands of real user and synthetic workflows. Evaluate frontier model releases and the latest OSS model drops, building the infrastructure and quality signals that help Glean understand regressions, tradeoffs, and launch readiness. Build agent observability infrastructure, incl", "payInputRanges": null, "dedupeKey": "gh:gleanwork:4712438005", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Bangalore, India", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 7000000 }, "category": "ai-ml", "tags": [ "llm-evals", "agents", "distributed-systems", "observability" ], "needsClassify": false, "id": "gh:gleanwork:4712438005", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "Glean", "companySlug": "gleanwork", "jobId": "4012745005", "title": "Software Engineer, Machine Learning", "locationRaw": "Bangalore, India", "locations": [ "Bangalore, India" ], "mode": null, "url": "https://job-boards.greenhouse.io/gleanwork/jobs/4012745005", "postedAt": "2022-06-29", "description": "About Glean:   Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.   At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.   Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.   If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.   About the Role: Glean is looking for engineers to help build the world’s best search and assistant product for work. Our engineers work on a range of systems across the stack, including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. We interact regularly with customers, deeply understand their pain points, and use whatever tool is necessary, simple or complex, to solve their problems. You will: Invent new signals to improve the personalization of our search engine Train a model to capture interactions between signals in our ranking system Design smarter ways to domain-adapt language models to each customer’s corpus Discover new ways of combining LLMs with search engines to answer complex questions Write robust code that’s easy to read, maintain, and test Mentor more junior engineers, or learn from battle-tested ones About you: 6+ years of experience BA/BS in computer science, math, sciences, or a related degree Experience working with search, recommendation, natural language processing, or other large systems involving machine learning Strong analytical skills and ability to work with data Proven ability to design, build, and ship production-ready models Proficiency in your ML framework of choice Strong coding skills (Python, Go, Java, C++, ...) Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Location:   This role is in person in Bangalore, India Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be el", "payInputRanges": null, "dedupeKey": "gh:gleanwork:4012745005", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Bangalore, India", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 7000000 }, "category": "ai-ml", "tags": [ "python", "java", "agents" ], "needsClassify": false, "id": "gh:gleanwork:4012745005", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "lever", "company": "HighLevel", "companySlug": "gohighlevel", "jobId": "29c16f45-a4ca-4eb8-bc4a-1738dc9219c1", "title": "Lead Engineer - AI Studio", "locationRaw": "India", "locations": [ "India" ], "country": "IN", "mode": "remote", "url": "https://jobs.lever.co/gohighlevel/29c16f45-a4ca-4eb8-bc4a-1738dc9219c1", "postedAt": "2026-07-01", "description": "About Highlevel\nHighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.\nTo date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.\nBehind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.\nOur people\n\nWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.\nOur impact \nEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.\nLearn more about us on our  YouTube Channel or Blog Posts\nAbout the Role\nWe’re looking for a Lead Software Engineer to join our AI Studio Team, the group responsible for building AI Studio — an AI-based React application builder that generates production-ready websites and other React applications from natural language, which users can then connect to custom domains and publish live to the internet — from prompt-driven app generation, component and layout creation, automated copy/design generation, real-time preview and editing, to one-click deployment across our product ecosystem.\nThis team owns the intelligence layer that helps millions of SMBs build production-ready websites and React applications without technical expertise. The AI Studio platform orchestrates complex workflows across data processing, LLM-powered reasoning, code and component generation, design generation, and live deployment to custom domains. With millions of applications and billions of visitor interactions flowing through our systems, reliability, correctness, and performance are mission-critical.\n\n\nEEO Statement\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n", "salaryRange": null, "dedupeKey": "lever:gohighlevel:29c16f45-a4ca-4eb8-bc4a-1738dc9219c1", "seniority": "lead", "levelSource": "title", "location": { "raw": "India", "cities": [], "mode": "remote", "scope": "remote_home" }, "pay": { "published": false, "vettedMin": 5000000 }, "category": "ai-ml", "tags": [ "react", "microservices", "performance" ], "needsClassify": false, "id": "lever:gohighlevel:29c16f45-a4ca-4eb8-bc4a-1738dc9219c1", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "lever", "company": "HighLevel", "companySlug": "gohighlevel", "jobId": "5b51c71b-a61e-41e4-82e3-7fa4deb2678a", "title": "Staff Engineer - Platform Frontend", "locationRaw": "India", "locations": [ "India" ], "country": "IN", "mode": "remote", "url": "https://jobs.lever.co/gohighlevel/5b51c71b-a61e-41e4-82e3-7fa4deb2678a", "postedAt": "2026-09-24", "description": "About HighLevel:\nHighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.\nTo date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.\nBehind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.\n\nOur People\nWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.\n\nOur Impact\nEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.\nLearn more about us on our YouTube Channel or Blog Posts.\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\nWe encourage you to review our Privacy Policy before submitting your application\n", "salaryRange": null, "dedupeKey": "lever:gohighlevel:5b51c71b-a61e-41e4-82e3-7fa4deb2678a", "seniority": "staff", "levelSource": "title", "location": { "raw": "India", "cities": [], "mode": "remote", "scope": "remote_home" }, "pay": { "published": false, "vettedMin": 5000000 }, "category": "frontend", "tags": [ "microservices", "performance" ], "needsClassify": false, "id": "lever:gohighlevel:5b51c71b-a61e-41e4-82e3-7fa4deb2678a", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": "2026-10-07T07:36:48.586Z" }, { "source": "lever", "company": "Mindtickle", "companySlug": "mindtickle", "jobId": "a2bc1371-eade-465a-a017-46c746742baa", "title": "Lead Design Engineer", "locationRaw": "Pune, Maharashtra", "locations": [ "Pune, Maharashtra", "Bengaluru, Karnataka" ], "country": "IN", "mode": "onsite", "url": "https://jobs.lever.co/mindtickle/a2bc1371-eade-465a-a017-46c746742baa", "postedAt": "2026-04-17", "description": "Who we are\nMindtickle is the leading AI-powered revenue enablement platform, helping sales teams learn faster, practice smarter, and perform at their best. We bring together onboarding, training, coaching, content, digital sales rooms, conversation intelligence, and AI role-plays into one platform so revenue teams have everything they need to build winning sellers.\nGlobal companies, like Fortune 500 organizations, trust Mindtickle to support their revenue teams. Customers and industry analysts have also recognized us. G2 has ranked us the #1 Sales Training & Onboarding platform for 28 consecutive quarters, and Forrester has recognized Mindtickle as a Leader in revenue enablement. Mindtickle was also recognized as AI-Based Sales Solution of the Year by the 2025 AI Breakthrough Awards and has received Stevie Awards for Technology Innovation and Customer Support Excellence.\nAt Mindtickle, we're helping companies create high-performing revenue teams, and we're looking for people who want to help shape what's next.\n\n\nJob Snapshot\nAs a Design Engineer at Mindtickle, you are someone who moves fluently between design and code, brings design intent to life with precision, and raises the bar for what \"shipped\" looks like. You'll co-own our design system in code, prototype ideas before they're fully specced, and be the connective tissue between design thinking and production reality.\nThis is a new role: part interaction designer, part product builder, part systems thinker, part hacker, part artist. If this is you, continue reading! \n\n\nOur Culture & Values\nWe hire builders, people who move fast, learn from failure, and use AI as a default part of how they work. Our values- Delight Your Customers, Act as a Founder, and Better Together- aren't wall decor. They're how we make decisions here.\nGrowth at Mindtickle looks like owning more, not just doing more. Your scope will outgrow your job title if you want it to. You'll work alongside people who've scaled revenue tech globally, get direct feedback from leaders invested in your development, and take on challenges before you feel ready because that's how the best growth happens.\nOur team spans 5+ countries, backgrounds, and perspectives. We believe the best products are built by people who bring different ways of seeing the same problem - and everyone has a seat at that table.\nWe hire for potential. Apply even if your experience doesn't match every requirement; your skills, perspective, and drive matter here. At Mindtickle, you can be yourself, build your career, and do the best work of your life alongside people who genuinely want to see you succeed.\nWe believe the best products are built by teams with different backgrounds, experiences, and ways of seeing the world. We welcome every unique identity, and we mean that.\nMindtickle is proud to be an Equal Opportunity Employer\nAll qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.\nYour Right to Work: In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.\n", "salaryRange": null, "dedupeKey": "lever:mindtickle:a2bc1371-eade-465a-a017-46c746742baa", "seniority": "lead", "levelSource": "title", "location": { "raw": "Pune, Maharashtra", "cities": [ "Bengaluru", "Pune" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5000000 }, "category": "frontend", "tags": [], "needsClassify": false, "id": "lever:mindtickle:a2bc1371-eade-465a-a017-46c746742baa", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "MongoDB", "companySlug": "mongodb", "jobId": "8106099", "title": "Senior Software Engineer, AI Builder Experience (ABX)", "locationRaw": "Gurugram", "locations": [ "Gurugram" ], "mode": null, "url": "https://www.mongodb.com/careers/job?gh_jid=8106099", "postedAt": "2026-08-11", "description": "AI agents are transforming the way developers interact with software - and databases are no exception. We're seeking a Senior Software Engineer to join our AI Interfaces team within AI Builder Experience (ABX), where you'll provide technical direction, shape architecture, and build the core products that make it seamless for developers and AI agents to work with MongoDB. Our team owns the surfaces through which humans and agents connect to MongoDB - including the MongoDB MCP Server, Agent Skills, our Intelligent Assistant Platform, and purpose-built agents. In short: if it's how an agent talks to MongoDB, we're building it. This is a new team charting new territory, and as a Senior Software Engineer here, you'll be right at the frontier - building the technologies that let AI applications and agentic workflows work seamlessly with MongoDB at scale. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects end to end with minimal guidance. We're looking for product-minded engineers who thrive on autonomy and take pride in shipping. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day - we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. This position requires participation in a 24/7 on-call rotation to ensure business continuity and incident response capabilities. This role can be based out of our Gurugram office. Position Expectations Work closely with research, product management, product engineering, product design, peers, as well as other teams within the company to define the first version and future evolution of our AI interfaces Design, build, and deliver well-tested core pieces of the platform - including the MongoDB MCP Server, Agent Skills, the Intelligent Assistant Platform, and purpose-built agents - in collaboration with other vested parties Take ownership of ambiguous problems and drive them to completion independently, making sound decisions as requirements evolve Contribute to shaping architecture, code reviews, and development practices, as well as developer experience, as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for scalable, high-availability web applications and services 5+ years of experience building backend systems, primarily in Node.js and TypeScript, with an interest in working across a polyglot codebase Proven success in designing, writing, testing, debugging, and performance tuning software systems in large, long-lived code bases Track record of identifying problems, implementing solutions, and delivering complex projects independently with minimal guidance A product-minded approach to engineering, with the judgment to make pragmatic tradeoffs and the comfort to operate amid ambiguity and rapidly evolving technologies Enjoys collaboration and being part of a team; is approachable, curious, and intellectually honest Excellent verbal and written technical communication skills, and a desire to collaborate with colleagues Be a force multiplier in our software development process - enable teams to deliver great products through leadership and technical contributions Eager to learn, with a strong technical background Nice to Haves Experience building MCP servers, agent skills, or plugins for agentic applications Familiarity with the agentic AI tooling ecosystem (AI IDEs, CLIs, and assistants) and how developers integrate with it Working knowledge of Java and/or Python Experience with OAuth and authentication infrastructure for developer-facing services Experience working with databases and knowledge of database internals Bonus points for experience with containerization and orchestration platforms (e.g. Kubernetes) and AI frameworks and tools About MongoDB M", "payInputRanges": null, "dedupeKey": "gh:mongodb:8106099", "seniority": "senior", "levelSource": "title", "location": { "raw": "Gurugram", "cities": [ "Gurugram" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "ai-ml", "tags": [ "typescript", "node.js", "python", "java", "kubernetes", "agents", "mcp", "performance" ], "needsClassify": false, "id": "gh:mongodb:8106099", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "MongoDB", "companySlug": "mongodb", "jobId": "8107301", "title": "Senior Software Engineer, AI Framework Integrations", "locationRaw": "Gurugram", "locations": [ "Gurugram" ], "mode": null, "url": "https://www.mongodb.com/careers/job?gh_jid=8107301", "postedAt": "2026-08-06", "description": "AI frameworks like LangChain, LlamaIndex, and n8n are quickly becoming the default way developers build with AI — and MongoDB wants to be the data platform that shows up everywhere they build. As part of the AI Builders Experience (ABX) org, we're standing up a brand new engineering team in Gurugram to make that happen, and we're looking for Senior Software Engineers to be among its founding members. The team owns the connective layer between MongoDB and third-party AI frameworks, platforms, and tools — the integrations that let developers use MongoDB effectively with the AI stack they've already chosen. That means shipping into some of the fastest-moving open-source ecosystems in tech, working mostly in Python and TypeScript, and partnering with the Database Experience (DBX) org when an integration needs new driver, platform, or product capability underneath it. This is a self-sufficient team by design. You and your engineering manager will be based in Gurugram, and the group is set up to own its area end to end: to decide how integrations get built, tested, released, and maintained, without waiting on another time zone to unblock the day-to-day. You'll work closest with the engineers sitting next to you, pairing on hard problems, reviewing each other's code, and dividing up a broad portfolio, while collaborating with product, partners, field teams, and open source maintainers as the work requires. You'll integrate with fast-moving, often unproven technologies, make pragmatic calls in the face of ambiguity, and own high-visibility projects with minimal guidance. Priorities can shift week to week based on framework changes, customer demand, and partner needs, so we're looking for product-minded engineers who thrive on autonomy and take pride in shipping. Much of your work will happen in public: sending pull requests to upstream repositories, working through external maintainer review cycles, and representing MongoDB in developer communities. MongoDB engineering teams pride themselves on building high-quality software and living our cultural values every day — we value intellectual curiosity, intellectual honesty, customer empathy, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position expectations Design, build, test, and ship MongoDB integrations across a broad AI framework ecosystem that includes technologies like LangChain, LangGraph, LlamaIndex, n8n, and Mastra, owning them from first exploratory spike through production release and ongoing maintenance. Take ownership of ambiguous problems and drive them to completion independently, making sound decisions as requirements, frameworks, and customer needs evolve. Do the initial, exploratory work: assess a new framework, define the smallest useful version of an integration, get it in front of users quickly, and make a clear recommendation about whether and how to invest further. Contribute high-quality code upstream to repositories MongoDB doesn't own, maintaining a high standard of professionalism and courtesy while working through external maintainer review cycles. Build and maintain the team's engineering practices for a broad integration portfolio, including CI/CD, automated testing across framework and server versions, version compatibility awareness, and release readiness. Own the operational health of the integrations you build — monitoring, upgrades, breaking-change response, issue triage, and follow-through after launch. Partner with the Database Experience (DBX) org to define the driver, platform, and product capabilities your integrations depend on, making the case for what's needed and why. Work with product management, product design, partners, field teams, and open source maintainers to define the first version and future evolution of these integrations. 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Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Principal UI Engineer - Frontend/Fullstack (React, TypeScript)   Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.  Join our team! We’re building a world where Identity belongs to you. Access Essentials - Core Product The Access Essentials organization at Okta builds the platform features for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources seamlessly & securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Management team is part of Okta R&D Engineering. Learn more about Okta’s Engineering on our blog . The First Party Apps Platform team First Party Apps Platform team is part of the larger Access Essential - Core Product organization. We develop Okta’s secure web experiences for end-user authentication and access . Our products and features are high-impact and high-visibility. Our team develops the Okta Sign-in Widget, End User SSO Dashboard , and the Okta Browser Plugin . The Engineer Opportunity We seek an experienced web front-end engineer to join our First Party Apps Platform team. The ideal candidate has extensive experience in web development, building well-tested and maintainable software. The opportunity is an excellent chance to build software with high impact and usage. If you’re excited to work on something that millions of users will use on a daily basis, this is the opportunity for you. Job Duties and Responsibilities : Lead the design and development of complex, high-performance features using React and TypeScript. Collaborate closely with product managers, UI/UX designers, and backend engineers to translate requirements into robust and effective frontend solutions. Write clean, modular, well-tested, and maintainable code, adhering to best practices and coding standards. Optimize applications for speed, scalability, and responsiveness across various devices and browsers. Contribute to the evolution of our frontend architecture, ensuring its long-term scalability and maintainability. Participate in code reviews, providing constructive feedback and ensuring code quality across the team. Proactively identify and address technical debt, performance bottlenecks, and areas for improvement. Stay up-to-date with the latest trends and technologies in frontend development, evaluating and recommending new tools and approaches. Champion a culture of continuous improvement, innovation, and technical excellence within the team. Minimum Requirements : 13+ years of professional experience in frontend development, with a strong focus on building complex web applications. Deep expertise in React, including a strong understanding of its core principles, hooks, component lifecycle, and state management. Proficiency in TypeScript, with a proven ability to leverage its features for robust and maintainable codebases. Sol", "payInputRanges": null, "dedupeKey": "gh:okta:8229910", "seniority": "principal", "levelSource": "title", "location": { "raw": "Bengaluru, India", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "ai-ml", "tags": [ "react", "typescript", "performance" ], "needsClassify": false, "id": "gh:okta:8229910", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "Okta", "companySlug": "okta", "jobId": "8119089", "title": "Senior Fullstack Engineer [ Node.js Heavy + React ]", "locationRaw": "Bengaluru, India", "locations": [ "Bengaluru, India" ], "mode": null, "url": "https://www.okta.com/company/careers/opportunity/8119089?gh_jid=8119089", "postedAt": "2026-09-09", "description": "Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Product Okta's Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Team The Enterprise Management team provides enterprise-ready, centralized governance of the Auth0 resources our customers build on tenants, teams, and dashboard users under a single pane of glass. As customer environments grow in scale and complexity, we ensure secure, autonomous, and frictionless access through tenant-level transparency and access controls that meet or exceed their security policies. We own the full lifecycle of tenants and teams, the management dashboards, and the public APIs that enable enterprise customers to programmatically govern their Auth0 environments at scale. Our work spans RBAC, self-service SSO, and the tooling that enables internal teams to support customers on their Auth0 journey. We work with Node.js, TypeScript, PostgreSQL, MongoDB, and React to build highly available and performant services. We ship with quality our recent launches have gone live with zero production bugs. What you'll be doing: Design and build high-performance, customer-facing features end-to-end using React and Node.js/TypeScript, delivering from concept through production deployment. Architect and optimize backend APIs both public and internal for throughput, latency, and reliability at enterprise scale. Implement and manage caching strategies to minimize response times and reduce database pressure across our dashboards and API surfaces. Profile, diagnose, and resolve performance bottlenecks across the full stack from React rendering and state management to database query optimization and network I/O. Model and optimize data access patterns across PostgreSQL and MongoDB, choosing the right datastore and indexing strategy for each workload. Drive technical improvements to our codebase and architecture, ensuring our systems are highly reliable, maintainable, and scalable. Collaborate with engineers inside and outside the team to design and deliver powerful new APIs and features for our enterprise customers. Mentor and coach other engineers on sound engineering practices, performance discipline, and testing. Work closely with your team, the Product Manager, and the Product Designer to define the look, feel, and functionality of new features and review customer feedback. Participate in the team's on-call rotation to ensure we offer our customers the best availability for our services. Key Qualifications: 5+ years of experience working on large-scale systems or services. Strong expertise using Node.js (TypeScript) to build backend services and create and maintain public or internal APIs. 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Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.  Join our team! We’re building a world where Identity belongs to you. Access Essentials - Core Product The Access Essentials organization at Okta builds the platform features for authentication and authorization across Okta-protected resources. Our mission is to enable customers to access these resources seamlessly & securely. We develop Okta cloud services and client software that allow users to seamlessly login to devices and use Okta authenticators to access applications securely. The Access Management team is part of Okta R&D Engineering. Learn more about Okta’s Engineering on our blog .x The First Party Apps Platform team First Party Apps Platform team is part of the larger Access Essential - Core Product organization. We develop Okta’s secure web experiences for end-user authentication and access . Our products and features are high-impact and high-visibility. Our team develops the Okta Sign-in Widget, End User SSO Dashboard , and the Okta Browser Plugin . The Engineer Opportunity We seek an experienced web front-end engineer to join our First Party Apps Platform team. The ideal candidate has extensive experience in web development, building well-tested and maintainable software. The opportunity is an excellent chance to build software with high impact and usage. If you’re excited to work on something that millions of users will use on a daily basis, this is the opportunity for you. Job Duties and Responsibilities : Design and development of complex, high-performance features using React and TypeScript. Collaborate closely with product managers, UI/UX designers, and backend engineers to translate requirements into robust and effective frontend solutions. Write clean, modular, well-tested, and maintainable code, adhering to best practices and coding standards. Optimize applications for speed, scalability, and responsiveness across various devices and browsers. 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Solid understanding of modern JavaScript (ES6+), HTML5, and CSS3. 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We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere.\n\n \n\nAbout the Role\n\nAs an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.\n\n\n\nThis role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees\n\n\n\nIn this role, you will:\n\n - Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.\n\n - Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes.\n\n - Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.\n\n - Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.\n\n - Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution.\n\n - Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact.\n\n - Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback.\n\n - Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments.\n\n \n\nYou’ll thrive in this role if you:\n\n - Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting.\n\n - Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management.\n\n - Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable.\n\n - Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment.\n\n - Have navigated enterprise production requirements such as integrations, reliability, observability,", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:openai:bf036b23-cd23-46d0-a02f-4b1483f4698a", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Delhi, India", "cities": [ "Bengaluru", "Mumbai", "Delhi" ], "mode": "hybrid", "scope": "located" }, "pay": { "published": false, "vettedMin": 7000000 }, "category": "ai-ml", "tags": [ "typescript", "javascript", "python", "agents", "observability", "performance" ], "needsClassify": false, "id": "ashby:openai:bf036b23-cd23-46d0-a02f-4b1483f4698a", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "ashby", "company": "Runway", "companySlug": "runway-ml", "jobId": "92044f68-4957-4cf0-9590-98952732b219", "title": "Design Engineer", "locationRaw": "Remote", "locations": [ "Remote" ], "country": "United States", "mode": "remote", "url": "https://jobs.ashbyhq.com/runway-ml/92044f68-4957-4cf0-9590-98952732b219", "postedAt": "2024-02-16", "description": "We are building AI to simulate the world through merging art and science.\n\nWe believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.\n\nWorld models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.\n\n\n\nOur team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.\n\n\n\n\nABOUT THE ROLE\n\nWe are looking for a passionate Design Engineer to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. This is not a role focused on Runway core consumer products; instead, you’ll be embedded in a fast-moving lab environment where the work is exploratory, experimental, and technical.\n\nThis candidate should be a motivated self-starter with experience working closely with engineering and research teams to rapidly prototype and ship. You'll explore new interfaces and interaction paradigms for AI generated video, world models, and agentic systems helping translate cutting-edge research into tangible, usable experiences.\n\nThis role requires a blend of design skills and technical expertise, along with a genuine passion for both. As part of a small team, you’ll collaborate with researchers, engineers, and product designers to develop concept prototypes, design high-value interactive features, and build tools that enable new creative and research workflows.\n\n\nWHAT YOU’LL DO\n\n - Prototype and implement novel user experiences at the intersection of AI video, world models, and emerging generative media\n\n - Design and build agentic tools and interfaces that allow researchers and creatives to interact with and direct AI systems in real time\n\n - Explore new application areas for AI video and general world models — from simulation and interactive media to research tooling\n\n - Stretch the limits of front-end engineering to broaden what’s possible in research and experimentation contexts\n\n - Create internal tools and frameworks used across design and engineering teams at Runway Labs\n\n - Work alongside researchers, engineers, and product designers to shape how we think about the future of AI-driven creativity\n\n\nWHAT YOU’LL NEED\n\n - Genuine curiosity about AI video, world models, agentic engineering and generative media and an intuition for how to design meaningful interactions with these systems\n\n - Experience designing flows, prototypes, and high-fidelity UIs for web and agentic products\n\n - Experience building agentic tools or interfaces — i.e., systems where AI takes actions, reasons over state, or drives multi-step workflows\n\n - Strong understanding of visual and interaction design, as well as usability testing\n\n - Comfort working in ambiguous, research oriented environments where the problem space is still being defined\n\n - Strong understanding of visual and interaction design, as well as usability testing.\n\n\n\nRunway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. 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Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.\n\nWorld models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.\n\n\n\nOur team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.\n\n\n\n\nABOUT THE ROLE \n\nWe’re looking for a Product Engineer to join our team and help us build cutting-edge, AI-powered video creation and collaboration tools. Rather than specialists, we’re seeking curiosity-driven engineers who are thoughtful problem solvers and thrive in fast-paced, high-ownership environments. Our engineering team is highly collaborative and works on a wide variety of exciting challenges, including developing new interfaces for AI content creation, building LLM-powered features and conversational experiences, and deploying cutting-edge computer vision and generative models to production.\n\n\n\n\nA PEEK AT OUR TECHNICAL STACK \n\nThe rich UI of our generative AI tools is powered by TypeScript and React with MediaBunny driving in-browser media and React Flow powering our node-based creative workflows. Our API endpoints for user and media management are written in TypeScript and Node.js and deployed as containerized services on AWS ECS Fargate. We leverage AI APIs to power advanced generative capabilities.\n\n\n\n\nWHAT YOU’LL DO \n\n - Create rich multimedia interfaces using the cutting-edge of the latest AI video generation models Gen-4.5 and Aleph 2.0\n\n - Build end-to-end full-stack AI-powered product features — designing and developing both frontend experiences and backend systems, including authoring server-side processes and APIs that power our generative AI tools\n\n - Design and implement LLM-powered features and conversational interfaces\n\n - Partner with a world-class engineering team pushing the boundaries of creativity and content creation on the browser\n\n - Take on new challenges across the Frontend stack to implement product features for Runway’s machine learning-based generative AI tools\n\n - Improve the performance, reliability, and code quality of our codebases\n\n\n\n\nWHAT YOU’LL NEED \n\n - 5+ years of industry experience in a software engineering role, ideally full-stack focused\n\n - Demonstrated fluency in one or more programming languages, including but not limited to JavaScript/TypeScript\n\n - Experience building with third-party AI APIs (e.g., chatbots, LLM integrations)\n\n - Experience in architecting production-ready systems and familiarity with debugging and profiling tools\n\n - Ability to rapidly prototype solutions and iterate on them with tight product deadlines\n\n - Humility and open-mindedness; at Runway, we love to learn from one another\n\n\n\nRunway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.\n\nThere are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. 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The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\n \n\nAbout the Role\n\nThese are not form-and-table frontend roles. The frontend engineers on this team build the interfaces that sit on top of Sarvam's AI stack in some of the most demanding environments in the country. You will own the frontend layer of multiple 'atoms' — replicable, deployable product components — and work closely with backend engineers, the PM, and the deployment team. These interfaces must work in offline-first, low-bandwidth, hardened client environments, not just on a MacBook over broadband.\n\n \n\nWhat You'll Do\n\n• Design and build performant, production-grade frontend interfaces for strategic sector and enterprise AI use cases: geospatial overlays, simulation UIs, natural language access layers, ontology viewers, data ingestion dashboards, and complex enterprise workflows\n\n• Own the frontend layer of atoms end-to-end — from component architecture to deployment in client-embedded environments\n\n• Collaborate with backend engineers and the PM to ship complete, scoped atoms into the hands of real users\n\n• Build for constrained environments: offline-first, low-bandwidth, limited hardware — not the idealised development environment\n\n• Contribute to shared frontend infrastructure: component libraries, design system, and state management patterns\n\n• Participate in field testing and client feedback loops with Strategic Deployment Engineers across strategic sector and complex enterprise accounts\n\n \n\nWhat We're Looking For\n\n• 3–6 years in frontend engineering with shipped, production-grade products\n\n• Deep React proficiency; TypeScript; modern CSS (Tailwind or equivalent); strong component architecture instincts\n\n• State management proficiency: Zustand, Redux Toolkit, or equivalent; strong async data patterns\n\n• Data visualisation experience: D3.js, Mapbox/Leaflet, Deck.gl for geospatial, Recharts, or equivalent — at least one in production\n\n• REST and WebSocket API integration; sufficient backend awareness to debug across the boundary\n\n• Performance engineering: bundle optimisation, lazy loading, and rendering performance in low-resource environments\n\n \n\nBonus Points\n\n• WebGL or Three.js for 3D visualisation\n\n• Electron or desktop app experience\n\n• Offline-first or PWA architecture\n\n• Prior work on dashboards, command-and-control UIs, or complex enterprise tooling\n\nNote: We are looking for people who can own the outcomes described here, not people who\n\nmatch every line of this specification. If this problem excites you and you believe you can do this work, we want to hear from you.\n\n \n\nWhy Sarvam?\n\nSarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.\n\n• Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar\n\n• High ownership and high impact, from day one\n\n• Everything we do is AI-first, from the way we build and ship to the way we think about problems\n\n• You can work on problems that could change how an entire country learns, works, and communicates\n\nIf you want to work on problems at the frontier of AI in India, Sarvam is the place to be.", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:sarvam:10a352d0-a65b-4599-8998-e09deef34349", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Bengaluru", "cities": [ "Bengaluru" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "frontend", "tags": [ "react", "typescript", "performance" ], "needsClassify": false, "id": "ashby:sarvam:10a352d0-a65b-4599-8998-e09deef34349", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "ashby", "company": "Sarvam AI", "companySlug": "sarvam", "jobId": "de7eba10-6fff-4fa3-8d70-526f2cf58eb7", "title": "Frontend Engineer, Vision", "locationRaw": "Bengaluru", "locations": [ "Bengaluru" ], "country": "India", "mode": "onsite", "url": "https://jobs.ashbyhq.com/sarvam/de7eba10-6fff-4fa3-8d70-526f2cf58eb7", "postedAt": "2026-08-18", "description": "About Sarvam\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Team\n\nSarvam's research teams build our own vision-language models for OCR and structured extraction. This team builds everything around them — the serving harness that turns a 3B or 30B in-house model into a production document intelligence platform.\n\nThe bet is specific: with the right harness — routing, decomposition, retries, verification, ensembling, layout awareness, confidence calibration — a small sovereign model should match or beat what teams today get from frontier hosted models like Gemini Flash, at a fraction of the cost and fully within India. Closing that gap is an engineering problem, and it is this team's problem.\n\nWe run against the full messiness of Indian documents at population scale: PAN and Aadhaar, bank statements, GST filings, insurance and medical reports, 60-page\n\ncontracts, legal filings and RFPs — across languages, scan quality, and layouts that were never designed to be machine-read.\n\nStack: Go, Python, Temporal, REST, Kubernetes, PostgreSQL, Redis, object storage, OpenTelemetry-based observability.\n\nAbout the Role\n\nDocument intelligence is only trustworthy if a human can see what the model saw. You will build the interfaces where that happens: document viewers with field-level grounding, review and correction workflows, extraction schema builders, evaluation dashboards, and the developer-facing console our enterprise customers use to run pipelines at scale.\n\nThese are dense, stateful, performance-sensitive UIs — rendering 100-page PDFs with overlaid bounding boxes, streaming results as pages complete, letting a reviewer correct a field and push that correction back into the loop. The quality of this surface directly determines how much our customers trust the system.\n\nYou will be the frontend owner for the team, working closely with backend and applied AI engineers rather than against a finished spec.\n\nWhat You'll Do\n\n - Build the document review experience: PDF and image rendering, page navigation, bounding-box overlays, confidence highlighting, side-by-side source-to-extraction linking\n\n - Build human-in-the-loop correction workflows — fast keyboard-driven review, field-level edit, approve/reject queues — and wire corrections back into the evaluation loop\n\n - Build the extraction schema designer: let users define, test, and version the structured output they want from a document type\n\n - Build internal evaluation and observability dashboards — accuracy by field and document type, latency and cost breakdowns, model comparison views Handle real-time and long-running state well: streaming partial results, job progress, optimistic updates, resumable sessions\n\n - Own frontend performance on genuinely heavy documents — virtualisation, canvas rendering, lazy loading, memory discipline\n\n - Partner with backend engineers on API contracts; you will shape them, not just consume them\n\n - Set the frontend standard for the team: component architecture, typing, testing, accessibility\n\nWhat We're Looking For\n\n - 4–5 years building production frontend applications, with strong ownership of what you shipped\n\n - Deep React expertise — hooks, rendering behaviour, state management at scale, performance profiling; you know why a component re-renders\n\n - Strong TypeScript; you use the type system to make bad states unrepresentable Real command of the browser platform: layout, events, memory, rendering; comfort with Canvas or SVG for custom rendering\n\n - Experience with complex, data-dense product surfaces — dashboards, editors,", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:sarvam:de7eba10-6fff-4fa3-8d70-526f2cf58eb7", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Bengaluru", "cities": [ "Bengaluru" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "frontend", "tags": [ "react", "typescript", "python", "kubernetes", "observability", "accessibility", "performance", "postgres" ], "needsClassify": false, "id": "ashby:sarvam:de7eba10-6fff-4fa3-8d70-526f2cf58eb7", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-07T07:36:48.586Z", "misses": 2, "status": "archived", "closedAt": "2026-10-09T07:50:46.476Z", "reopenedAt": null }, { "source": "ashby", "company": "Sarvam AI", "companySlug": "sarvam", "jobId": "5fafff38-0438-4a6b-afa1-bfcb750b3c9b", "title": "Senior Frontend Engineer - Arya", "locationRaw": "Bengaluru", "locations": [ "Bengaluru" ], "country": "India", "mode": "onsite", "url": "https://jobs.ashbyhq.com/sarvam/5fafff38-0438-4a6b-afa1-bfcb750b3c9b", "postedAt": "2026-08-10", "description": "ABOUT SARVAM.AI http://Sarvam.ai\n\nSarvam.ai http://Sarvam.ai is at the forefront of India’s AI revolution, dedicated to building transformative technologies that empower users and redefine digital interactions. Our mission is to develop intelligent systems that seamlessly integrate into everyday workflows, enhancing productivity and user experience.\n\n\n\nABOUT THE ROLE\n\nWe are looking for a Senior Frontend Engineer to join our team building cutting-edge AI agent interfaces. You will architect and deliver production-grade web applications using Next, React, and TypeScript in a modern monorepo architecture. This role requires high autonomy, the ability to ship fast without compromising quality, and thriving in ambiguity while building AI-powered products at scale.\n\n\n\nWHAT YOU’LL WORK ON\n\n - Architect scalable frontend systems using Next, React, and TypeScript in a Turborepo monorepo\n\n - Design and maintain shared component libraries using shadcn/ui patterns and Radix UI primitives\n\n - Build sophisticated AI agent interfaces including conversational UIs\n\n - Optimize for performance: Core Web Vitals, bundle size, runtime performance, and perceived speed\n\n - Implement responsive, accessible designs that work seamlessly across devices\n\n - Integrate with backend services handling real-time data, streaming responses, and state synchronization\n\n\nREQUIRED SKILLS\n\n\n\nMUST HAVE\n\n - React & Next.js - 3+ years frontend experience, expert React (including Server Components, Actions), production Next.js App Router experience\n\n - TypeScript - Deep expertise with advanced types, generics, conditional types, strict mode\n\n - Modern CSS - Tailwind CSS (preferably v4), responsive design, animations\n\n - State Management - Advanced experience with Jotai atoms, TanStack Query for server state/caching, React Hook Form + Zod\n\n - Monorepo - Hands-on experience with Turborepo, pnpm workspaces, or similar\n\n - Component Systems - Experience building design systems with shadcn/ui, Radix UI, or similar headless libraries\n\n - Performance - Proven track record optimizing bundle size, render performance, Core Web Vitals\n\n - API Integration - REST APIs, WebSockets, SSE (Server-Sent Events), real-time data synchronization\n\n\nNICE TO HAVE\n\n - Experience building AI/ML product interfaces (chat interfaces, streaming responses)\n\n - Motion/animation expertise (Framer Motion)\n\n - Browser automation & E2E testing (Playwright, Cypress)\n\n - Advanced TypeScript patterns (mapped types, template literal types, branded types)\n\n - CI/CD pipeline experience, containerization (Docker, Kubernetes)\n\n - Monitoring and observability (Sentry, DataDog, LogRocket)", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:sarvam:5fafff38-0438-4a6b-afa1-bfcb750b3c9b", "seniority": "senior", "levelSource": "title", "location": { "raw": "Bengaluru", "cities": [ "Bengaluru" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "frontend", "tags": [ "react", "next.js", "typescript", "kubernetes", "docker", "agents", "observability", "ci-cd" ], "needsClassify": false, "id": "ashby:sarvam:5fafff38-0438-4a6b-afa1-bfcb750b3c9b", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-07T07:36:48.586Z", "misses": 2, "status": "archived", "closedAt": "2026-10-09T07:50:46.476Z", "reopenedAt": null }, { "source": "ashby", "company": "Sarvam AI", "companySlug": "sarvam", "jobId": "36f89b00-2010-4d23-aae3-17a2f53d9eaa", "title": "Agent Engineer", "locationRaw": "Bengaluru", "locations": [ "Bengaluru" ], "country": "India", "mode": "onsite", "url": "https://jobs.ashbyhq.com/sarvam/36f89b00-2010-4d23-aae3-17a2f53d9eaa", "postedAt": "2026-08-20", "description": "The distance between an AI system that works and one that millions of people rely on every day is where the real engineering lives. Crossing it is what Agent Engineers at Sarvam do.\n\nThe agents you build go into live operation at India's largest banks, insurers, NBFCs and government departments, and at some of the country's fastest-growing companies, handling millions of real interactions, measured against outcomes the customer wants to drive.\n\nThe hard part is not the first version. It is everything after: mapping the full space of what an agent has to handle so the scenarios that matter are covered by design rather than discovered in production, engineering for the failure modes instead of the happy path, and building the evals and instrumentation that make quality measurable, so drift surfaces in the data rather than in a customer escalation.\n\nWe treat agents as code. Not prompts someone tweaks in a console, but engineered artifacts: versioned, reviewed, and held to a regression suite, where you can reason about what a change will do and roll it back if you are wrong. Anyone who has watched an AI system quietly decay because nobody could tell which change broke it understands why this matters.\n\nAnd then doing it again for the next customer, faster, because you built the first one to be repeatable.\n\n\nABOUT SARVAM\n\nSarvam is India's leading full-stack AI company, building sovereign AI infrastructure and applications purpose-built for India. Headquartered in Bengaluru and founded by leading AI researchers, Sarvam builds foundational models for Indian languages, enterprise AI platforms, and voice-first AI agents that serve hundreds of millions of Indians. Sarvam is backed by top-tier investors and works with national and state governments, large enterprises, and developers across the country. We are building the AI layer for a billion people.\n\n\nWHAT THIS ROLE PROMISES YOU\n\nProduction, at real scale\n\nNot prototypes, not demos. Systems in live operation at some of India's largest institutions, carrying real volume, measured against outcomes the customer has signed up to. You will see the consequences of your engineering decisions within days.\n\nYou work at the source\n\nSarvam builds the whole stack: the foundational models, the infrastructure they run on, and the products on top of them. When a deployment needs something that does not exist yet, whether that is model behaviour, an infrastructure capability or a product change, you are not filing a ticket with a vendor and waiting on a roadmap. You are in a room with the people who built it. Anyone who has delivered AI on top of someone else's black box knows how much difference that makes.\n\nA genuinely broad surface\n\nSarvam's products span conversational AI, agentic workflows, intelligent document processing, and content, including dubbing and document translation. You will own a motion and go deep in it, and the depth you build travels well as products mature and new ones ship.\n\n\nWHAT YOU'LL DO\n\n - Build production agents on the Sarvam stack: prompts, system design, workflows, tool integrations, and evals.\n\n - Map the space the agent has to cover. Work out the scenarios that matter, how each should be handled, and where the edges are, so coverage is designed rather than discovered later.\n\n - Build the proof of concept when a customer wants to see it work before committing at scale, and get to a convincing result fast.\n\n - Integrate into systems that were never designed for this: core banking, CRM, ticketing, telephony, and whatever else the customer runs.\n\n - Own quality end to end. Define what good means for the use case, build the evals that measure it, and close the gap until the numbers hold.\n\n - Engineer agents like software. Version them, review them, and hold them to a regression suite, so quality does not depend on who last edited a prompt.\n\n - Tune for the constraints that decide whether a system survives production: accuracy, cost, reliability, and performance under real", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:sarvam:36f89b00-2010-4d23-aae3-17a2f53d9eaa", "seniority": "unlabeled", "levelSource": "tier-assumed", "location": { "raw": "Bengaluru", "cities": [ "Bengaluru" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "ai-ml", "tags": [ "llm-evals", "agents", "performance" ], "needsClassify": false, "id": "ashby:sarvam:36f89b00-2010-4d23-aae3-17a2f53d9eaa", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "ashby", "company": "Sarvam AI", "companySlug": "sarvam", "jobId": "b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e", "title": "Staff Software Engineer - Frontend", "locationRaw": "Bengaluru", "locations": [ "Bengaluru" ], "country": "India", "mode": "onsite", "url": "https://jobs.ashbyhq.com/sarvam/b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e", "postedAt": "2026-09-15", "description": "ABOUT SARVAM\n\nSarvam is building the bedrock of Sovereign AI for India. The company is developing India's full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India's leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.\n\nAbout the Role\n\nWe are looking for a Staff Software Engineer - Frontend to help us solve some of the hardest frontend problems as we build AI products at scale.\n\nThis is a hands-on technical leadership role. You will work on problems involving real-time systems, streaming, performance, reliability, complex user workflows, and large-scale frontend architecture. You will also help shape the way frontend engineering is done across the organization.\n\n\n\nWHAT YOU'LL DO\n\n - Own the frontend architecture for complex, high-scale applications.\n\n - Solve challenging problems around real-time interactions, streaming data, asynchronous workflows, and continuously changing UI state.\n\n - Build reliable experiences around AI-generated responses, long-running tasks, tool calls, and partial results.\n\n - Design systems that remain responsive and reliable when dealing with large amounts of data and long-running operations.\n\n - Work closely with backend, product, and design teams to solve problems end to end.\n\n - Identify architectural bottlenecks before they become scaling problems and drive the right long-term solutions.\n\n - Improve frontend performance across loading, rendering, network usage, memory, and bundle size.\n\n - Build reusable frontend infrastructure, components, and patterns that can be adopted across teams.\n\n - Improve observability and production debugging through metrics, logging, error tracking, traces, and monitoring.\n\n - Own complex production issues, identify root causes, and make sure the same problems don't keep coming back.\n\n - Establish better approaches to testing, releases, feature flags, CI/CD, and frontend reliability.\n\n - Lead architecture discussions and technical decisions across teams.\n\n - Mentor engineers and help raise the overall frontend engineering bar.\n\n - Take ambiguous problems from problem definition → design → implementation → production.\n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years of software engineering experience, with strong hands-on frontend experience.\n\n - Deep experience with JavaScript, TypeScript, React, and Next.js.\n\n - Strong understanding of frontend architecture, browser fundamentals, networking, rendering, and the web platform.\n\n - Experience designing and scaling large production frontend applications.\n\n - Strong understanding of state management, APIs, caching, authentication, and asynchronous systems.\n\n - Experience building real-time or streaming experiences using technologies such as WebSockets, SSE, or streaming APIs.\n\n - Strong understanding of web performance and experience solving real production performance problems.\n\n - Experience with frontend observability and debugging production issues.\n\n - Experience building shared components, design systems, or frontend platforms.\n\n - Strong system-design skills and the ability to make practical architectural trade-offs.\n\n - Ability to influence technical decisions across teams without relying on formal authority.\n\n - Strong ownership and a bias toward solving problems at their root.\n\n - Understanding of video and audio fundamentals, including media processing, encoding/decoding, formats, streaming, synchronization, and handling media workflows at scale.\n\n - Experience building frontend experiences for video/audio processing or dubbing workflows is highly valuable.\n\n - Understanding of document digitization workflows, including document upload, processing states, previews, extraction results, editing/review experiences, and handling large or complex documents.\n\n - Ex", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:sarvam:b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e", "seniority": "staff", "levelSource": "title", "location": { "raw": "Bengaluru", "cities": [ "Bengaluru" ], "mode": "onsite", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "frontend", "tags": [ "react", "next.js", "typescript", "javascript", "observability", "ci-cd", "performance" ], "needsClassify": false, "id": "ashby:sarvam:b60ac66f-a2d7-4354-b67a-aa0de5ad7e3e", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "Zscaler", "companySlug": "zscaler", "jobId": "5233066007", "title": "Principal Software Development Engineer - Agentic Systems", "locationRaw": "Bangalore, IND", "locations": [ "Bangalore, IND" ], "mode": null, "url": "https://job-boards.greenhouse.io/zscaler/jobs/5233066007", "postedAt": "2026-09-17", "description": "Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role   We are looking for a Principal Software Development Engineer - Agentic Systems to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering in the Exposure Management & Security Operations department. In this role, you will lead the architecture and delivery of large-scale AI/ML infrastructure and production pipelines, mentor team members, and drive strategic technical initiatives across the organization. You bring a deep understanding of building and operating distributed AI systems at scale and translating business challenges into reliable, production-grade AI platforms. What you’ll do (Role Expectations) Lead the architecture and development of scalable AI/ML infrastructure, LLM serving platforms, and agentic workflows tailored for cloud-scale cybersecurity use cases Architect reusable platform foundations—including networking, security, authentication, and monitoring—to standardize and secure enterprise AI/ML services Define and implement system observability, evaluation, and reliability frameworks to ensure optimal performance and stability of AI systems in production Drive cross-functional architectural initiatives in collaboration with product, security, and operations teams to deliver production-grade AI solutions aligned with business goals Provide technical leadership and mentorship on distributed systems design while translating complex architectures to non-technical stakeholders to foster alignment across the organization Who You Are (Success Profile) You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outc", "payInputRanges": null, "dedupeKey": "gh:zscaler:5233066007", "seniority": "principal", "levelSource": "title", "location": { "raw": "Bangalore, IND", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "ai-ml", "tags": [ "agents", "distributed-systems", "observability", "performance" ], "needsClassify": false, "id": "gh:zscaler:5233066007", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "Zscaler", "companySlug": "zscaler", "jobId": "5173177007", "title": "Staff Software Development Engineer - AI Engineer", "locationRaw": "Mohali, IND", "locations": [ "Mohali, IND" ], "mode": null, "url": "https://job-boards.greenhouse.io/zscaler/jobs/5173177007", "postedAt": "2026-07-05", "description": "Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an AI Engineer to join our team. This is a Hybrid role, reporting to the Engineering Manager in the Product Operations department.  We are seeking a hands-on AI Engineer to help scale the agentic layer of our AI Native - Product Operations Platform. In this role, you will design and build production-grade AI systems, reusable platform capabilities, and the engineering harnesses required to safely develop, evaluate, debug, and operate AI workflows at scale. As a pragmatic builder who understands modern AI systems in practice, you will translate ambiguous business needs into scalable technical solutions in a high-velocity environment. What you’ll do (Role Expectations) Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems, reusable platform capabilities, and reliable execution patterns Develop Agentic AI capabilities by applying practical knowledge of RAG architectures, embeddings, vector retrieval, agent orchestration, and workflow state management Design and implement AI engineering harnesses for prompt testing, agent debugging, workflow replay, evaluation, regression testing, tracing, and controlled experimentation Build and maintain graph-based agent workflows, including multi-step reasoning flows, tool-calling paths, branching logic, human-in-the-loop checkpoints, and stateful execution patterns Implement standards, patterns, and guardrails to ensure AI development on the platform remains scalable, reliable, observable, and cohesive Who You Are (Success Profile) You are a pragmatic builder with a passion for rolling up your sleeves to create, iterate, and ship production-grade software. You thrive in ambiguity and fast-paced environments, maintaining focus and execution velocity amidst rapid change. You act like an owner, bringing deep accountability, a strong bias for action, and end-to-end execution to every project. You are a high-trust collaborator who excels at partnering with cross-functional teams to translate business needs into technical solutions. You champion simplicity, with a proven ability to distill complex technical problems and AI architectures into clean, actionable plans. What We’re Looking for (Minimum Qualifications) 5+ years of industry experience with at least 2-3 years focused on building or working with AI development harnesses, including test harnesses, evaluation pipelines, workflow replay tools, tracing, observability, and prompt or agent regression testing Proven experience building and deploying agentic AI systems, RAG architectures, embeddings, and vector retrieval systems in production environments Familiarity with prompt engineering, orchestration patterns, agent workflows, graph-based execution models, and evaluation frameworks or guardrails Practical understanding of agentic loops, including planning, retrieval, tool execution, validation, retry handli", "payInputRanges": null, "dedupeKey": "gh:zscaler:5173177007", "seniority": "staff", "levelSource": "title", "location": { "raw": "Mohali, IND", "cities": [ "Mohali" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "ai-ml", "tags": [ "rag", "agents", "observability" ], "needsClassify": false, "id": "gh:zscaler:5173177007", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "gh", "company": "Zscaler", "companySlug": "zscaler", "jobId": "5184110007", "title": "Staff Software Development Engineer (Browser Extension/React)", "locationRaw": "Bangalore, IND", "locations": [ "Bangalore, IND" ], "mode": null, "url": "https://job-boards.greenhouse.io/zscaler/jobs/5184110007", "postedAt": "2026-07-29", "description": "Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Software Development Engineer to join our Frontend Engineering team and help build and evolve Zero Trust Browser, our Browser Detection and Response (BDR) extension that protects users directly inside Chrome, Firefox, and Safari. This is more than standard UI work: you will build in-browser security capabilities detecting threats, enforcing enterprise policy, and analyzing content in real time across the extension's many feature modules and execution contexts. You'll turn product requirements and UI/UX designs into reliable, secure, and highly performant TypeScript that runs on millions of users' browsers without getting in their way. This is a hands-on individual-contributor role for someone with strong engineering fundamentals who wants to grow their depth in browser-platform, security, and frontend engineering. What You'll Do (Key Responsibilities) Build Extension Features: Translate product requirements and UI/UX designs into clean, well-tested, and performant browser-extension features, spanning from user-facing UI to deep in-browser security and detection capabilities Build Performant, Secure Tooling: Implement security-sensitive logic that runs on every page load with minimal overhead. You must care deeply about latency, memory consumption, and ensuring the browsing experience is never degraded Write Quality, Maintainable Code: Produce highly readable, modular code that follows established patterns and conventions, while actively participating in and elevating team code reviews Test & Debug Rigorously: Write comprehensive unit and integration tests for your work, and comfortably debug issues across complex browser contexts (background scripts, content scripts, popups, and extension pages) using browser developer tools Collaborate Cross-Functionally: Partner closely with UI/UX designers, backend engineers, and QA to ship features end-to-end, maintaining clear communication regarding progress and blockers Who You Are (Success Profile) You Think at Scale: You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and architectures that are not just effective today, but are built to last and support a high-growth organization You are Driven by Innovation: You possess a deep curiosity for how things work and are energized by solving complex technical hurdles. You believe in the power of technology to accelerate transformation and consistently hunt for more secure, scalable methods You are a Problem-Solver: You actively seek out engineering challenges because you are energized by finding solutions, knowing that solving the hardest problems delivers the biggest business and customer impact You are Data-Driven: You lean on data and analytics to uncover engineering truths, measure what matters, and guide informed architectural decisions replacing \"I think\" with \"I know.\" You are a Learner: You ha", "payInputRanges": null, "dedupeKey": "gh:zscaler:5184110007", "seniority": "staff", "levelSource": "title", "location": { "raw": "Bangalore, IND", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "frontend", "tags": [ "react", "typescript", "performance" ], "needsClassify": false, "id": "gh:zscaler:5184110007", "firstSeen": "2026-09-26T07:53:59.623Z", "lastSeen": "2026-10-07T07:36:48.586Z", "misses": 2, "status": "archived", "closedAt": "2026-10-09T07:50:46.476Z", "reopenedAt": null }, { "source": "gh", "company": "Okta", "companySlug": "okta", "jobId": "8185311", "title": "Senior Fullstack Engineer (Java + React.js)", "locationRaw": "Bengaluru, India", "locations": [ "Bengaluru, India" ], "mode": null, "url": "https://www.okta.com/company/careers/opportunity/8185311?gh_jid=8185311", "postedAt": "2026-09-10", "description": "Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Company Description   Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to   applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America, and Twilio,   trust Okta to help protect the identities of their workforces and customers.      Position Description     We are seeking an experienced Full Stack Senior Software Engineer to play a key role in building and scaling the Okta Recovery Vault (ORV). This team is responsible for Okta's enterprise-grade soft-delete and object recovery capability,   designed to protect critical identity objects (Users and Groups) from accidental or malicious deletion.   As a Senior Engineer, you will own the technical design, implementation, and operational reliability of critical components within our real-time, high-fidelity recovery system — spanning backend services and the admin-facing UI that customers   use to review and restore their data. You will solve complex engineering problems around identity preservation (UUIDs) and relationship restoration—including group memberships, app assignments, and password hashes—while also crafting   intuitive, performant workflows that let admins confidently recover from data loss events.     Job Duties and Responsibilities   - Feature Execution: Drive the technical design and end-to-end implementation of complex features, such as granular and bulk recovery workflows across Free and Advanced Resilience tiers — from backend APIs to the admin console UI.   - Component Design: Design and build reliable core components for real-time recovery systems that capture deletion events, support scalable data restoration, and surface clear, actionable recovery status to end users.   - UI/UX for Recovery Workflows: Build responsive, accessible front-end experiences (e.g., recovery dashboards, bulk restore flows, audit views) that make complex backend recovery operations easy for admins to understand and act on.   - Relationship & State Management: Solve challenging engineering problems around relationship restoration (group memberships, app assignments, device enrollments) and state consistency, and reflect that state accurately in the UI.   - Security & Compliance: Implement secure logging and tracking for all recovery operations (soft-delete, restore, permanent-delete) in Syslog to adhere to strict audit and compliance standards.   - Product & Cross-Functional Alignment: Partner with Product Managers, Designers, and technical leads to clarify requirements, define technical scope, and break down complex projects into actionable milestones across the stack.   - Operational Excellence: Participate in on-call rotations, troubleshoot production issues (backend and frontend), perform root cause analysis (RCAs), and enhance system observability, logging, and metrics.   - Code Quality & Technical Standards: Champion engineering best practices through thorough code reviews, automated testing (unit, integration, and UI), and c", "payInputRanges": null, "dedupeKey": "gh:okta:8185311", "seniority": "senior", "levelSource": "title", "location": { "raw": "Bengaluru, India", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 6000000 }, "category": "frontend", "tags": [ "react", "java", "observability" ], "needsClassify": false, "id": "gh:okta:8185311", "firstSeen": "2026-09-30T07:12:32.171Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "ashby", "company": "Atlan", "companySlug": "atlan", "jobId": "9ba81415-2033-4b72-af4a-d9d2f288abaa", "title": "Principal Software Engineer - Agent & App Platform", "locationRaw": "India", "locations": [ "India" ], "country": "India", "mode": "remote", "url": "https://jobs.ashbyhq.com/atlan/9ba81415-2033-4b72-af4a-d9d2f288abaa", "postedAt": "2026-10-01", "description": "WHO WE ARE\n\nAtlan is building the context layer for enterprise AI. Enterprises are pouring money into AI and most of it dies in production because the AI does not understand the business context around the data. That is the problem Atlan solves.\n\nGartner has named context the defining issue in enterprise AI, and calls context graphs the essential infrastructure for AI agents, naming Atlan one of three vendors already building it. We are also the only vendor named a Leader across all four major Gartner and Forrester evaluations for data catalogs, data governance and metadata management, the foundation the context layer runs on.\n\nCome build the infrastructure that AI runs on.\n\nAtlan is evolving from a world of apps to a world where apps and AI agents work together. The Agent & App Platform team is building the foundational infrastructure that makes this possible.\n\nWe’re looking for a Principal Software Engineer to help set the technical direction for the agent registry and gateway platform.\n\n\nTHE TEAM\n\nThe Agent & App Platform team builds the foundations that allow Atlan teams, partners, and customers to build, run, distribute, observe, and govern apps and agents reliably at scale.\n\nYou’ll work across areas such as:\n\n - Agent Registry & Gateways: Systems for registering, discovering, authenticating, governing, and routing agents, tools, and MCP servers.\n\n - Agent Platform: Shared capabilities for agent execution, including identity, context, secure execution, sessions, checkpointing, and observability.\n\n - App Runtime: Reliable execution infrastructure built on Kubernetes and Temporal.\n\n - Distribution & Automation: Packaging, deployment, marketplace experiences, workflows, triggers, templates, and automation capabilities.\n\n\nWHAT YOU’LL DO\n\nYou’ll own significant technical problems end-to-end and help build the platform primitives powering Atlan’s next generation of apps and agents.\n\nDepending on your strengths and interests, you may:\n\n - Design and build platform services for agents, tools, and MCP servers, including registries, gateways, authentication, authorization, routing, policy enforcement, audit logging, and tracing.\n\n - Build the primitives that power agent execution and lifecycle — including templates, marketplace experiences, secure sandboxing, tenant-aware context, durable sessions, checkpointing, and observability.\n\n - Evolve Atlan’s workflow and runtime infrastructure using Temporal, Kubernetes, and cloud-native technologies, while improving reliability, scalability, performance, and cost.\n\n - Design and operate multi-tenant distributed systems for enterprise workloads at significant scale, solving complex problems around isolation, failure recovery, capacity, and noisy neighbours.\n\n - Partner with Product and Engineering teams on how apps and agents come together across registration, distribution, and runtime, and contribute to architecture, RFCs, and technical standards.\n\n - Mentor engineers and raise the technical bar through strong engineering practices, design reviews, and technical leadership.\n\n\nWHAT WE’RE LOOKING FOR\n\n - 14+ years of experience in platform engineering, infrastructure, or backend systems, ideally in a SaaS environment.\n\n - Strong experience building platform services, API gateways, service registries, control planes, or similar systems.\n\n - Deep expertise in distributed systems and multi-tenant architectures, including event-driven systems, service communication, orchestration, retries, idempotency, and failure recovery.\n\n - Strong Kubernetes, containerization, and cloud infrastructure experience across AWS and/or GCP.\n\n - Experience designing systems with clear reliability, latency, capacity, and cost requirements, across both 0→1 and mature production environments.\n\n - Ability to work autonomously on ambiguous, cross-functional technical problems and communicate complex trade-offs clearly.\n\n\nIT’S A PLUS IF YOU HAVE\n\n - Experience with MCP, A2A, agent frameworks, agent runtimes, LLM gateway", "compensation": { "compensationTierSummary": null, "scrapeableCompensationSalarySummary": null, "compensationTiers": [], "summaryComponents": [] }, "dedupeKey": "ashby:atlan:9ba81415-2033-4b72-af4a-d9d2f288abaa", "seniority": "principal", "levelSource": "title", "location": { "raw": "India", "cities": [], "mode": "remote", "scope": "remote_home" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "ai-ml", "tags": [ "kubernetes", "aws", "gcp", "agents", "mcp", "distributed-systems", "observability", "performance" ], "needsClassify": false, "id": "ashby:atlan:9ba81415-2033-4b72-af4a-d9d2f288abaa", "firstSeen": "2026-10-01T07:37:18.382Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "sr", "company": "Freshworks", "companySlug": "Freshworks", "jobId": "744000152701997", "title": "Staff Engineer - Machine Learning", "locationRaw": "Bengaluru, KA, India", "locations": [ "Bengaluru, KA, India" ], "country": "IN", "mode": null, "url": "https://jobs.smartrecruiters.com/Freshworks/744000152701997", "postedAt": "2026-09-30", "description": "[object Object]\n\n[object Object]\n\n[object Object]\n\n[object Object]", "employmentType": "Full-time", "dedupeKey": "sr:Freshworks:744000152701997", "seniority": "staff", "levelSource": "title", "location": { "raw": "Bengaluru, KA, India", "cities": [ "Bengaluru" ], "mode": null, "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "ai-ml", "tags": [], "needsClassify": false, "id": "sr:Freshworks:744000152701997", "firstSeen": "2026-10-01T07:37:18.382Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "sr", "company": "Freshworks", "companySlug": "Freshworks", "jobId": "744000152914589", "title": "Principal Engineer - Machine Learning", "locationRaw": "Hyderabad, TS, India", "locations": [ "Hyderabad, TS, India" ], "country": "IN", "mode": "hybrid", "url": "https://jobs.smartrecruiters.com/Freshworks/744000152914589", "postedAt": "2026-10-01", "description": "[object Object]\n\n[object Object]\n\n[object Object]\n\n[object Object]", "employmentType": "Full-time", "dedupeKey": "sr:Freshworks:744000152914589", "seniority": "principal", "levelSource": "title", "location": { "raw": "Hyderabad, TS, India", "cities": [ "Hyderabad" ], "mode": "hybrid", "scope": "located" }, "pay": { "published": false, "vettedMin": 5500000 }, "category": "ai-ml", "tags": [], "needsClassify": false, "id": "sr:Freshworks:744000152914589", "firstSeen": "2026-10-02T07:24:27.347Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "sr", "company": "Freshworks", "companySlug": "Freshworks", "jobId": "744000152895704", "title": "Principal Engineer - 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Applied AI", "locationRaw": "India", "locations": [ "India" ], "country": "IN", "mode": "remote", "url": "https://jobs.lever.co/gohighlevel/7dd65f11-f2f6-43fd-bff4-da44f959a47c", "postedAt": "2026-10-05", "description": "About HighLevel:\nHighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.\nTo date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.\nBehind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.\n\nOur People\nWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.\n\nOur Impact\nEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.\nLearn more about us on our YouTube Channel or Blog Posts.\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.\n\nWe encourage you to review our Privacy Policy before submitting your application\n", "salaryRange": null, "dedupeKey": "lever:gohighlevel:7dd65f11-f2f6-43fd-bff4-da44f959a47c", "seniority": "staff", "levelSource": "title", "location": { "raw": "India", "cities": [], "mode": "remote", "scope": "remote_home" }, "pay": { "published": false, "vettedMin": 5000000 }, "category": "ai-ml", "tags": [ "microservices", "performance" ], "needsClassify": false, "id": "lever:gohighlevel:7dd65f11-f2f6-43fd-bff4-da44f959a47c", "firstSeen": "2026-10-05T07:32:24.940Z", "lastSeen": "2026-10-09T09:56:48.034Z", "misses": 0, "status": "active", "closedAt": null, "reopenedAt": null }, { "source": "lever", "company": "HighLevel", "companySlug": "gohighlevel", "jobId": "e748460e-6da2-48f5-b927-30caf0d1634d", "title": "Senior Software Development Engineer (Social Planner- AI)", "locationRaw": "India", "locations": [ "India" ], "country": "IN", "mode": "remote", "url": "https://jobs.lever.co/gohighlevel/e748460e-6da2-48f5-b927-30caf0d1634d", "postedAt": "2025-09-19", "description": "About us\nHighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.\nTo date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.\nBehind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.\n\nOur people\nWith over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.\n\nOur impact\nEvery month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.\nLearn more about us on our YouTube Channel or Blog Posts \n \nAbout the Team:\nThe Social Planner team is a dedicated product group within HighLevel’s Leadgen organization, focused on delivering a seamless social media management experience. We empower agencies and businesses to create, schedule, and manage posts across multiple platforms, while also providing automation, analytics, and engagement tools. \nOur primary objectives are to drive Social Planner adoption, improve feature retention, and maximize user engagement by making social publishing effortless and impactful.\nWe are responsible for:\nPost Publishing & Scheduling We enable agencies to publish and schedule posts across major social platforms, ensuring timely and consistent content delivery.\nPost Automation We support advanced publishing workflows, including CSV uploads, RSS-to-post, Review Posts, Category Queues, and Recurring Queues—giving agencies full flexibility to manage content at scale.\nEngagement & Insights Through Social Statistics, Comment Management, and Social Listening, we provide agencies with deep insights into performance and engagement, enabling data-driven content strategies.\nBest Time to Post We surface AI-driven recommendations on when to post for maximum reach and engagement, helping agencies optimize their content strategy.\nMulti-Platform Integration We currently support integrations with 9 major platforms—Google Business Profile, Facebook, Instagram, LinkedIn, TikTok, YouTube, Pinterest, Threads, and Bluesky—along with HighLevel’s internal Community product.\nAbout the Role:\nMillions of businesses post to social media through HighLevel's Social Planner. Hundreds of thousands of posts go out every day across every major social platform, each with its own API, rate limits and frequent changes. Our job is to make that look easy.\nWe're a small team with a big surface area, and we're building the next layer on top of publishing: understanding what the internet is saying about our customers, at scale, with AI. We're hiring a senior full stack engineer who wants to own that.\n\n\n#LI-Remote #LI-RS1\n\n\nEEO Statement:\nThe company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. 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Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service  Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow  Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 5+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases Good verbal and written technical communication skills, desire to collaborate with colleagues Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions Eager to learn, with a strong technical background About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. 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We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . See yourself at Twilio Join the team as our next Principal Machine Learning Engineer in Twilio’s Customer Memory Team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalized. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption.  Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale.  Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 10+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. 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We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . See yourself at Twilio Join the team as our next Staff Machine Learning Engineer on Twilio’s Conversation Memory team. About the job In this role, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers - letting any application, human or AI agent, or channel know who a customer is, what they have done, and how best to reach them. This role requires a builder and curious mindset, someone who can bridge the gap across theoretical research, production-grade experimentation and enterprise quality software. You will lead rapid research cycles to solve complex problems regarding contextual intelligence and large scale ML problems ensuring every interaction feels seamless and personalised. Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption.  Take a nebulous idea, design a rigorous experiment, and execute it within weeks. Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization. Build ML systems that hold up at Twilio scale.  Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority. Experience in building cloud-based services using AWS, GCP, or Azure. Strong communication skills and highly effective collaborator who works well with teammates. Desired: Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial. 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