2 months ago
Gurgaon, IndiaSenior
Responsibilities
- Design, build, test, ship, and maintain MongoDB integrations across AI frameworks including LangChain, LangGraph, LlamaIndex, n8n, and Mastra.
- Evaluate emerging frameworks, define minimum viable integrations, test them with users, and recommend future investment.
- Contribute production-quality code to upstream repositories and navigate external maintainer review cycles.
- Develop engineering practices for CI/CD, automated testing, framework and server-version compatibility, and release readiness.
- Own operational health through monitoring, upgrades, breaking-change response, issue triage, and post-launch follow-through.
- Partner with the Database Experience organization to define required driver, platform, and product capabilities.
- Collaborate with product management, product design, partners, field teams, and open-source maintainers on integration strategy.
- Shape architecture and development practices, conduct code reviews, share knowledge, and mentor less experienced engineers.
- Track the Python, TypeScript, and AI builder ecosystems and identify opportunities for MongoDB integrations.
Requirements
- At least 5 years of experience building backend systems or developer-facing libraries.
- Strong proficiency in Python and/or TypeScript.
- Experience designing, writing, testing, debugging, and performance-tuning software in large, long-lived codebases.
- Experience independently delivering complex projects and making decisions amid ambiguity and changing requirements.
- Product-minded judgment balancing time-to-market with long-term maintainability.
- Ability to manage a portfolio of projects while maintaining prioritization and quality.
- Strong interest in AI frameworks, agentic patterns, retrieval-augmented generation, embeddings, vector search, or related developer tooling.
- Excellent written and verbal technical communication skills and a collaborative working style.
- Preferred: meaningful open-source contributions, especially to repositories maintained by others.
- Preferred: experience building AI or framework integrations, MCP servers, agent skills, or plugins for agentic applications.
- Preferred: familiarity with AI IDEs, command-line tools, assistants, CI/CD, automated testing infrastructure, databases, MongoDB query optimization, vector search, embedding pipelines, or index management.
- Preferred: working knowledge of Java, Go, C#, or Rust; Docker and Kubernetes; usage telemetry; and Jira.
Benefits
- Hybrid working model for candidates based in Gurugram.
- Employee affinity groups, fertility assistance, and generous parental leave.
- Disability accommodations are available throughout 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.