Relevant experience in AI/ML, Data Science, Intelligent Automation, or Generative AI, including architecting and delivering enterprise-scale AI solutions.
Strong expertise in Agentic AI, multi-agent systems, and enterprise AI application architecture.
Proven experience designing autonomous AI workflows, agent orchestration, hierarchical agent systems, and human-in-the-loop architectures.
Deep understanding of AI application solution design, enterprise architecture principles, and scalable distributed systems.
Extensive experience with LLM application frameworks such as LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, LlamaIndex, OpenAI Agent SDK, Google ADK, and Model Context Protocol (MCP).
Strong expertise in Prompt Engineering, Retrieval-Augmented Generation (RAG), GraphRAG, Agentic RAG, semantic search, embeddings, vector databases, and ...