This repository serves as a study resource for candidates preparing for AI and LLM engineering roles at major technology companies. Questions span topics such as prompt engineering, retrieval augmented generation, embedding models, vector database internals, supervised fine-tuning, preference alignment (RLHF/DPO), LLM evaluation, hallucination control, and agent-based systems. The content is organized into categories to facilitate structured learning and topical review.