Preparing to switch careers to become an AI engineer, most of the learning materials I found online are scattered tutorials or AI-generated fluff, making it hard to find systematic guidance. I happened to discover the AI Engineering Field Guide on GitHub, an open-source project based on 1,765 real job descriptions and actual interview experiences, data-driven and very practical. The author analyzed job requirements, skill demands, interview processes, real cases, etc., and also provided transformation learning paths for engineers from different backgrounds such as data, backend, and frontend. GitHub: The content covers role positioning and skill analysis, a complete interview preparation guide, a curated collection of AI engineering learning resources, as well as real job market data and project case studies. It also includes real interview processes and experience sharing from 51 companies, including OpenAI, Anthropic, Google, and Meta, along with 17 actual take-home assignment case analyses. If you are considering transitioning to an AI engineer or want to systematically understand the real situation of this position, this guide is worth keeping.