# AI Engineering Interview Questions and Answers

A cheat sheet of interview questions and answers for AI engineering roles, covering LLM fundamentals, RAG, agents, fine-tuning, and production AI systems.

This is a maintained collection of interview questions and answers aimed at roles such as AI engineer, LLM engineer, agentic AI engineer, AI solutions architect, and MLOps/LLMOps engineer. It is organized into sections covering LLM fundamentals such as transformer architecture and tokenization, prompt engineering, retrieval-augmented generation, AI agents and agentic systems, fine-tuning and model adaptation, vector databases and embeddings, AI system design, evaluation and testing, AI safety and ethics, multimodal AI, infrastructure and scalability, and practical coding questions.

Many answers link out to longer explanatory articles and videos by the maintainer, who also teaches a related AI and machine learning program. The project is actively updated with new questions over time and is licensed under Apache 2.0.

Website: https://outcomeschool.com/program/ai-and-machine-learning