2 months ago
Gurgaon, IndiaSenior
Responsibilities
- Build, test, and ship MongoDB integrations across AI frameworks including LangChain, LangGraph, LlamaIndex, n8n, and Mastra.
- Own well-scoped projects from design through release, managing scope, schedules, quality, progress, and trade-offs.
- Evaluate emerging frameworks, develop working integration prototypes, and share findings with the team.
- Contribute high-quality code and documentation upstream to repositories maintained outside MongoDB.
- Improve engineering practices including automated testing, version compatibility checks, and release processes.
- Monitor integrations for upstream breaking changes, manage upgrades, triage issues, and support post-release health.
- Coordinate with the Database Experience organization and other teams on driver, platform, and product dependencies.
- Collaborate with product management, product design, and engineering partners to understand integration needs.
- Write documentation, review code, share knowledge, and develop expertise in Python or TypeScript AI builder ecosystems.
Requirements
- At least 3 years of experience building backend systems, libraries, or developer-facing software.
- Solid proficiency in Python and/or TypeScript.
- Experience designing, writing, testing, and debugging software in a shared, long-lived codebase.
- Demonstrated ability to deliver scoped projects reliably, manage multiple projects, and adapt as priorities change.
- Interest in AI frameworks, agentic patterns, retrieval-augmented generation, embeddings, or vector search.
- Strong written and verbal technical communication skills and a collaborative working style.
- Open-source contributions, AI or framework integrations, MCP servers, agent skills, plugins, multi-version library testing, database experience, MongoDB query familiarity, vector search, embedding pipelines, containerization, or familiarity with Jira are preferred.
- Working knowledge of Java, Go, C#, or Rust is a plus.
Benefits
- Hybrid working model for candidates based in Gurugram.
- Employee affinity groups, fertility assistance, and generous parental leave policy.
- Disability accommodations are available during the application and interview process.
Tech Stack
Categories
About MongoDB
MongoDB builds the MongoDB document database and the MongoDB Atlas cloud database service for application developers and enterprises. Its business model centers on cloud consumption (Atlas), commercial subscriptions, and support, with tooling for migration, synchronization, and disaster recovery across on‑prem and multi‑cloud environments. Founded in 2007 and headquartered in New York, it is a public company listed on NASDAQ and widely used across industries worldwide.