This repository serves as an interview and production reference for engineers working with AI systems. It covers topics including agentic AI workflows, evaluation frameworks, RAG architectures, LLM integration patterns, and system design for production deployments. The guide addresses considerations for building reliable AI systems using platforms like AWS, Azure, and various LLM providers including Claude, Gemini, and OpenAI.