[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNzg1MjY","title","AI Systems Interviews for Senior Engineers","state","published","contactAuthorMethod","email","aboutText","

You can design a sharded database in your sleep. You've crushed LeetCode hards. But the moment an interviewer says, \"Design a RAG system for 1 billion documents,\" something shifts. The frameworks you trusted stop working. The answers that landed your last offer now feel thin.

That's because AI systems interviews aren't general systems interviews with embeddings sprinkled on top. They test a different kind of judgment: when to use an LLM and when not to, how to reason about token budgets and retrieval quality, how to roll out probabilistic systems without breaking production. Most senior engineers fail not from lack of ability, but from sounding like builders when they need to sound like staff.

This book is the playbook that closes that gap. Drawing on real interview loops at Meta, OpenAI, Anthropic, and other AI-first companies, it gives you a repeatable answer flow, deep dives into the systems interviewers actually ask about, and the staff-level signals that separate offers from polite rejections.

Inside you'll learn how to:

• Structure any AI system design answer using a clarify-design-tradeoff flow that scales from RAG to agents

• Design RAG systems at billion-document scale with hybrid retrieval, reranking, and permission-aware access

• Talk about agentic pipelines without sounding hype-driven or vague

• Model token cost, latency, and quality tradeoffs the way staff engineers actually do

• Tell behavioral stories that prove cross-team impact and earn L5/L6 leveling

For senior engineers targeting Staff AI Systems roles in the next 8 to 12 weeks.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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