Traditional interview prep misses the mark for AI product engineering. After analyzing interview patterns at leading AI companies, I compiled 500+ questions covering the skills that actually matter: prompt engineering, context optimization, RAG systems, agent architectures, AI evaluation, and more.

Each domain has 4 difficulty levels (Novice → Master) with questions based on real production scenarios. For example, instead of theoretical ML questions, you get practical prompts like "Design a RAG system that maintains context across multi-turn conversations" or "How would you implement A/B testing for different prompt variations?"

Built this primarily for my own interview prep and as I coach companies for how to effectively utilize AI in their organizations, but hoping it helps others navigating this rapidly evolving field.