Design and own graph-based agent workflows using LangGraph.
Translate business problems into backend AI requirements and implementations.
Build GenAI capabilities end-to-end with LangChain tools and RAG.
Improve quality and reliability with observability, safety, and auditable AI behavior.
Mentor the team on LLM backend architecture and LangGraph best practices.

🎯 Requirements

5+ years in production ML/AI and backend systems with LLM workflows.
Proficient in Python; experience with LangGraph, LangChain, FastAPI, PostgreSQL; OpenAI/Azure or Vertex AI.
GenAI in production: multi-step agents, RAG, tool-augmented LLMs, human-in-the-loop.
Bachelor's degree or higher in CS or related field; strong communication skills.

🎁 Benefits

Referral bonus: 3000

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