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.

   

   
   

Overview

• Industry - IT - Consulting Services / Advisory Services
• Job Role - Software Engineer / Programmer, Machine Learning Engineer, Machine Learning Engineer (ML, Azure ML, Azure Monitor), Generative AI Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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