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Senior Software Engineer, AI Framework Integrations

MongoDB · Posted Oct 21

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

GurugramFull-timeHybridSenior Level7+ years₹45.0L–₹70.0L yearly<25 applicants
Database SoftwareCloud ComputingNoSQLArtificial IntelligenceEnterprise SoftwarePublic Company
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About the role

MongoDB's AI Builders Experience (ABX) org is standing up a new engineering team in Gurugram that owns the connective layer between MongoDB and third-party AI frameworks, platforms, and tools. The team builds and maintains integrations that let developers use MongoDB effectively with the AI stack they have already chosen, working mostly in Python and TypeScript across open-source ecosystems such as LangChain, LangGraph, LlamaIndex, n8n, and Mastra. As a founding senior engineer, this role designs, ships, and operates these integrations end to end, contributes code upstream to external repositories, and helps define the team's architecture, testing, and release practices.

What you will do

  • 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.
  • 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.
  • Stay current with the Python, TypeScript, and broader AI builder ecosystems and bring what you learn back to the team's roadmap.
  • 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.
  • Flag issues, risks, and resource needs early and clearly, both within the team and to cross-functional partners in other regions.

Skills used in this role

PythonTypeScriptLangChainLangGraphLlamaIndexn8nMastraMongoDBRAGVector SearchEmbeddingsMCP ServersAgentic AICI/CDDockerKubernetesJavaGoC#RustJiraCommunicationCollaboration

What the employer is looking for

  • Strong background in building core components for scalable, high-availability services, developer platforms, or libraries
  • 7+ years of experience building backend systems or developer-facing libraries, with strong proficiency in Python and/or TypeScript
  • Proven success in designing, writing, testing, debugging, and performance tuning software in large, long-lived code bases, including code that other developers depend on
  • 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 between fast time-to-market and long-term maintainability, and the comfort to operate amid ambiguity and rapidly evolving technologies
  • Demonstrated ability to context switch across a portfolio of projects while maintaining sound prioritization and quality.
  • Strong and demonstrated interest in modern AI builder workflows and the developer tooling landscape: AI frameworks, agentic patterns, RAG and retrieval, embedding, vector search, or adjacent areas.
  • Excellent verbal and written technical communication skills, including the ability to write things down clearly for 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 background.

Preferred qualifications

  • Meaningful open source contributions, especially work that landed in repositories you don't own and required navigating external maintainer review
  • Professional experience building AI or framework integrations, 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
  • Experience building and operating CI/CD and automated testing infrastructure for libraries with many downstream version and platform combinations
  • Experience working with databases and knowledge of database internals; query optimization experience, especially with MongoDB
  • Experience with vector search, embedding pipelines, or index management
  • Working knowledge of Java, Go, C#, or Rust
  • Experience with containerization and orchestration platforms (e.g. Docker, Kubernetes) and with AI frameworks and tooling
  • Experience instrumenting usage telemetry and using it to guide investment decisions
  • Familiarity with Jira and related tool

Benefits and support

  • Employee affinity groups
  • Fertility assistance
  • Generous parental leave policy

About MongoDB

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MongoDB

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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

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