The opportunity
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…
What you'll do
Build, test, and ship MongoDB integrations across a broad AI framework: ecosystem that includes technologies like LangChain, LangGraph, LlamaIndex, n8n, and Mastra
Own well-scoped projects end to end on weekly-to-quarterly timelines, taking: responsibility for the scope, schedule, and quality of your own work and communicating progress and trade-offs clearly
Solve day-to-day technical problems with growing independence, using the: team's established patterns and past practice to guide your decisions, and seeking guidance on non-standard problems
Contribute to exploratory work on new frameworks: help evaluate an integration's feasibility, build a first working version of the piece you own, and share what you learn with the team
Contribute high-quality code upstream to repositories MongoDB doesn't own,: following the team's contribution practices and maintaining a high standard of professionalism and courtesy through external maintainer review cycles
Work within and improve the team's engineering practices: CI/CD, automated testing across framework and server versions, version compatibility checks, and release steps. Suggest improvements where you see repeated friction
What they're looking for
- + years of experience building backend systems, libraries, or other: developer-facing software, with solid proficiency in Python and/or TypeScript
- Experience designing, writing, testing, and debugging software in a shared,: long-lived code base, with an eye for the tests and documentation that make it maintainable
- Track record of delivering scoped projects reliably and on time, with growing: independence and good judgment about when to ask for help
- Demonstrated ability to work on several projects at once and keep quality and: commitments intact as priorities shift
- Clear interest in modern AI builder workflows and the developer tooling: landscape: AI frameworks, agentic patterns, RAG and retrieval, embedding, or vector search
- Solid verbal and written technical communication, including the ability to: write things down clearly for teammates and partners you won't always overlap with in real time
- Enjoys collaboration and being part of a close-knit team; is approachable, curious, and intellectually honest
- Eager to learn, with a strong technical foundation and an interest in deepening it
