Gen AI

4+ years of experience with design and develop AI solutions using Python, with proficiency in frameworks such as Flask , Streamlit , and FastAPI .

Architect and implement intelligent agents and agent-based systems.

Apply Retrieval-Augmented Generation (RAG) techniques, including GraphRAG , to enhance model performance.

Engineer memory and context-aware systems for dynamic AI interactions.

Collaborate on solutioning initiatives in Data and GenAI , driving innovation and efficiency.

Work with modern AI frameworks such as LangChain , LangGraph , crew.ai , or Autogen (hands-on experience with at least one is required).

Contribute to the design and optimization of Agent Architectures and Multi-Component Pipelines (MCP) .

Strong programming skills in Python .

Experience with one or more of the following : LangChain , LangGraph , crew.ai , Autogen .

Deep understanding of Agent Architectures , RAG , and GraphRAG .

Familiarity with memory management and context engineering in AI systems