<p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>We are looking to speak to candidates who are based in Gurugram for our hybrid working model.</p> <h2>Position expectations</h2> <ul> <li>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.</li> <li>Take ownership of ambiguous problems and drive them to completion independently, making sound decisions as requirements, frameworks, and customer needs evolve.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>Own the operational health of the integrations you build — monitoring, upgrades, breaking-change response, issue triage, and follow-through after launch.</li> <li>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.</li> <li>Work with product management, product design, partners, field teams, and open source maintainers to define the first version and future evolution of these integrations.</li> <li>Raise the technical bar within the team: shape architecture and development practices, give thorough code reviews, share what you know, and mentor peers and less experienced engineers.</li> <li>Stay current with the Python, TypeScript, and broader AI builder ecosystems and bring what you learn back to the team's roadmap.</li> <li>Bring a research and discovery mindset: notice emerging opportunities in the ecosystem, surface them early, and make the case for where MongoDB should show up next.</li> <li>Flag issues, risks, and resource needs early and clearly, both within the team and to cross-functional partners in other regions.</li> </ul> <h2>Qualifications</h2> <ul> <li>Strong background in building core components for scalable, high-availability services, developer platforms, or libraries</li> <li>7+ years of experience building backend systems or developer-facing libraries, with strong proficiency in Python and/or TypeScript</li> <li>Proven success in designing, writing, testing, debugging, and performance tuning software in large, long-lived code bases, including code that other developers depend on</li> <li>Track record of identifying problems, implementing solutions, and delivering complex projects independently with minimal guidance</li> <li>A product-minded approach to engineering, with the judgment to make pragmatic tradeoffs between fast time-to-market and long-term maintainability, and the comfort to operate amid ambiguity and rapidly evolving technologies</li> <li>Demonstrated ability to context switch across a portfolio of projects while maintaining sound prioritization and quali