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Tier-1 brand, mid-level generalist backend role in metro with broad skillset increases competition.
Role requires backend integrations and MongoDB/AI framework familiarity, moderately limiting cross-industry transferability.
Mandatory 3+ years plus Python/TypeScript and developer-library experience create moderate filtering for candidates.
Own end-to-end development of MongoDB integrations with AI frameworks such as LangChain, LlamaIndex, and n8n, delivering well-scoped projects on weekly-to-quarterly timelines.
Contribute high-quality code to external open-source repositories and manage the health of integrations including monitoring upstream changes and triaging issues.
Collaborate closely with adjacent teams (DBX, product, design) and participate in developer communities, ensuring integration projects align with user needs and team objectives.
3+ years experience building backend systems, libraries, or developer-facing software with proficiency in Python and/or TypeScript.
Experience designing, writing, testing, and debugging software in a shared, long-lived codebase, including maintaining tests and documentation.
Clear interest or experience in modern AI builder workflows or developer tooling related to AI (agentic patterns, RAG, vector search).
Must be based in Gurugram for hybrid working model.
Engineer able to work with fast-moving open-source AI ecosystems, contributing upstream and maintaining integrations with independence over time.
Comfortable owning scoped projects end to end, balancing multiple projects and shifting priorities while maintaining quality and communications.
Strategic fit includes strong collaboration within close-knit teams, technical communication around AI builder tooling, and working effectively across cross-functional dependencies.