[{"_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","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODMyMjk","title","AI Engineer - Interview book","state","published","contactAuthorMethod","email","aboutText","

AI Engineer – Interview Book is a practical interview-preparation guide for software engineers moving into AI engineering.

It assumes you already know how to build and operate software: APIs, databases, caching, queues, testing, CI/CD, reliability, and production incident response. Rather than asking you to become an ML researcher, it helps you learn the AI-specific concepts and trade-offs that modern AI engineering interviews actually test.

You’ll build confidence in the areas that repeatedly determine interview outcomes:

LLM fundamentals, embeddings, and transformer concepts
Prompt and context engineering for production systems
Retrieval-Augmented Generation (RAG), hybrid search, chunking, and vector stores
Agents, tool use, guardrails, and multi-step workflows
AI system design, including latency, cost, reliability, safety, and observability
Evaluation systems, golden datasets, LLM-as-a-judge, regression testing, and quality monitoring
Coding exercises, portfolio projects, behavioural questions, and interview strategy

This is not a textbook full of abstract theory or a collection of answers to memorise. It is a question-driven guide built around the reasoning interviewers look for. Every chapter contrasts plausible but weak answers with strong, production-minded answers—and prepares you for the follow-up questions where interviews are often decided.

By the end, you will be able to explain, design, test, and defend AI-powered systems with the judgment of an engineer who knows how to ship them.

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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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