Generative AI Engineer

Design and implement end-to-end Retrieval-Augmented Generation systems — including chunking strategies, embedding models, vector stores, hybrid search, and re-ranking — to deliver accurate, context-grounded LLM responses. Build autonomous and multi-agent AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; implement tool-use, planning, memory, and orchestration patterns.        

Responsibilities

Software Engineer / Programmer, Machine Learning Engineer, Machine Learning Engineer (ML, Azure ML, Azure Monitor), Machine Learning Engineer (ML, Azure ML, Azure Monitor)