Job description4+ 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