Hands-on exposure to building or deploying AI agents and LLM-powered applications-such as working with agentic frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI), Model Context Protocol (MCP) integrations, or multi-agent orchestration-along with familiarity with prompt engineering, retrieval-augmented generation (RAG) pipelines, or fine-tuning workflows for real-world use cases. You'll be exposed to a breadth of environments- supporting traditional IT, hybrid cloud, and specialized GPU-accelerated infrastructure powering critical business processes, advanced analytics, or Physical AI environments (spatial computing, digital twins, edge environments).