Back
MongoDB logo

Software Engineer 3, AI Framework Integrations

MongoDB · Posted Sep 11

Modern database platform, cloud database-as-a-service, vector search, and developer data services

GurugramFull-timeHybridSenior Level3+ years₹35.0L–₹55.0L yearly100+ applicants
Database SoftwareCloud ComputingNoSQLArtificial IntelligenceEnterprise SoftwarePublic Company
Full time

Get a personal compatibility score

Add a resume for personal matches

About the role

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, MongoDB is standing up a brand new engineering team in Gurugram and looking for 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 — working mostly in Python and TypeScript and shipping into some of the fastest-moving open-source ecosystems in tech.

What you will 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
  • Help keep the integrations you work on healthy: monitor for upstream breaking changes, handle upgrades, triage incoming issues, and follow through after release
  • Coordinate with adjacent teams, including DBX, when your work depends on driver, platform, or product capability, and escalate cross-team dependencies and risks early rather than working around them
  • Collaborate with product management, product design, and other partners to understand what users need from an integration and how your work connects to the team's objectives
  • Write clear documentation, give useful code reviews, share what you know with teammates, and follow through on your commitments
  • Develop specialized knowledge of the Python or TypeScript AI builder ecosystems — frameworks, agent and retrieval patterns, vector search — and bring interesting developments back to the team
  • In the first month, you will understand the team's scope, how our integrations are structured, where the relevant repositories and pipelines live, and how we build, test, and release. You'll have landed your first code contribution and know who to ask when you're blocked
  • In three months, you will be delivering scoped work on one or more integrations with growing independence, will have landed an upstream contribution, and will be comfortable running the team's testing and release process for your own changes
  • In six months, you will own a well-defined area or project end to end, deliver against quarterly objectives with limited oversight, and have made at least one concrete improvement to the quality or efficiency of how the team works
  • In twelve months, you will be a dependable owner of a piece of the portfolio, will have delivered multiple meaningful features or integrations

Skills used in this role

PythonTypeScriptLangChainLangGraphLlamaIndexn8nMastraMongoDBAI FrameworksAgentic AIRAGRetrievalEmbeddingsVector SearchMCP ServersCI/CDAutomated TestingDockerKubernetesJavaGoC#RustJiraOpen Source

What the employer is looking for

  • 3+ 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

Preferred qualifications

  • Open source contributions, especially any work that landed in a repository you don't own
  • Experience building AI or framework integrations, MCP servers, agent skills, or plugins for agentic applications, professionally or as side projects
  • Familiarity with the agentic AI tooling ecosystem (AI IDEs, CLIs, and assistants) and how developers integrate with it
  • Experience with CI/CD and automated testing for libraries that support multiple versions or platforms
  • Experience working with databases; familiarity with MongoDB query patterns
  • Exposure to vector search, embedding pipelines, or index management
  • Working knowledge of Java, Go, C#, or Rust
  • Experience with containerization tools (e.g. Docker, Kubernetes) and with AI frameworks and libraries
  • Familiarity with Jira and related tools

Benefits and support

  • Compensation and benefits are detailed in the job posting

About MongoDB

MongoDB logo

MongoDB

Company website
LinkedInXCrunchbaseGlassdoor★4.1

MongoDB is a modern, general-purpose database platform designed to unleash the power of software and data for developers and enterprises globally. Its flagship cloud database service, MongoDB Atlas, supports flexible document models, vector search, and transactional capabilities built for modern cloud and AI-driven workloads.

Industry
Database Software
Company size
5741 employees
Founded
2007
Location
New York, New York, USA
Funding stage
Public Company

Funding

Public Company · $311M raised

Sequoia CapitalIntel CapitalRed HatAlleyCorp
  • 2015-01-01Series F$80M

Leadership

C“
Chirantan “CJ” Desai

President and Chief Executive Officer

MB
Mike Berry

Chief Financial Officer

JS
Jim Scharf

Chief Technology Officer

EV
Erica Volini

Chief Customer Officer

Recent coverage

Apply on company site