AI Engineer Interview Kit
Questions, worked answers and a 2-week prep plan for AI/LLM engineering interviews
What's inside
- 120 interview questions across 12 chapters, from LLM fundamentals, RAG and evals to agents, system design, safety, fine-tuning, multimodal and coding rounds
- A worked answer for every question, plus what the interviewer is testing and the follow-ups they are likely to ask
- Every question tagged by level (junior to staff) and company type (AI lab, AI startup, big tech, enterprise)
- Back-of-envelope maths you can do live: token costs, KV-cache memory, fine-tuning memory
- A 14-day prep plan with a daily reading, practice questions and a hands-on task
- Behavioral questions specific to AI roles, with story structures you can adapt
Who it's for
- Software engineers moving into AI/LLM engineering roles
- AI engineers preparing for a job change at a lab, startup or big tech company
- Hiring managers who want a structured question bank for AI engineering loops
Who it isn't for
- ML researchers preparing for research-scientist interviews on model training theory
- Anyone looking for leaked questions from specific companies: the questions are representative, not copied
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