Build and evolve MCP servers, tools, and skills for multi-LLM exposure (Claude, Gemini).
Design graph-RAG pipeline to convert documents into agent-friendly facts, entities, relations.
Implement retrieval across source, vector-RAG, dense graph, and temporal replay.
Collaborate with product, data, QA; strive for better answer quality and grounding.
Write clean, tested production-grade code and participate in code reviews.
Work in an agile/sprint environment with cross-functional teams.

🎯 Requirements

Bachelor’s in CS/Engineering or equivalent experience.
5+ years software engineering; 2+ years AI/ML or LLM apps.
Strong Python; hands-on LLM app development and agentic patterns.
Direct experience building MCP servers, tools, and skills.
Experience with RAG, graph-RAG systems, vector DBs, embeddings.
Familiarity with graph stores (Neo4j, Postgres/Supabase graphs).

🎁 Benefits

Thank you for your interest. Only those selected for an interview will be contacted.

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