AI Engineer Interview Questions
A structured interview-preparation resource for AI, LLM and applied-AI engineering roles, with worked questions, system-design case studies, coding challenges and company-specific question banks.
This repository is a study resource for AI Engineer, LLM Engineer and Applied AI interviews, organized as over a thousand questions with worked answers, ten system-design case studies, nineteen runnable coding challenges, and question sets for named companies plus guides for engineering roles.
It is built around a core set the author calls the AI Engineer 75: the highest-signal questions and mock system-design and coding exercises, meant to be attempted cold before checking the answer. Beyond that, it offers study plans scaled to how much time a candidate has, from a same-day cram sheet to an eight-week plan covering every topic question, case study and coding challenge plus a portfolio project.
It is written in Python and licensed under the MIT license.