Lead GenAI projects using LLMs, chatbots, AI agents, and RAG mechanisms.
Design, implement, and optimize GenAI solutions; mentor teams.
Make architectural decisions and select technologies for AI-driven development.
Collaborate with data engineers, product owners, and full-stack developers on scalable
Stay current with GenAI landscape and run PoCs to validate new models/frameworks.

🎯 Requirements

6+ years of experience in Data Science/AI engineering.
4+ years producing production-ready Python AI code.
2+ years producing production-ready LLM-related code (RAG preferred).
Strong knowledge of GenAI: LLMs, chatbots, AI agents, RAG.
Hands-on with GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar.
Strong Python, packaging, and testing for data/ML services.

🎁 Benefits

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