Generative AI System Design Interview (2026 Edition): A Practical Guide to Designing Scalable AI Systems and Cracking Modern Interviews

Most engineers are preparing for yesterday's interviews. This book prepares you for today's.Generative AI system design is now a core expectation at top tech companies — not a bonus skill. If you're walking into a system design interview in 2026 without knowing how to architect LLM-powered systems, RAG pipelines, and vector search at scale, you're already behind.This book closes that gap — fast.What You'll LearnA battle-tested framework for approaching any GenAI system design questionHow LLMs, RAG, embeddings, vector databases, and prompt engineering actually work in productionHow to design for latency, cost, scalability, hallucination risk, and real-time streamingThe trade-off thinking interviewers at FAANG and top AI companies are actively testing forReal Interview Questions — Fully SolvedDesign a ChatGPT-like conversational systemBuild a document Q&A system using RAGCreate a code generation assistantDesign a customer support AI botBuild a multimodal AI systemArchitect an AI-powered search engineEvery question includes a detailed walkthrough — not just the answer, but the reasoning behind each decision.Why This Book Is DifferentMost system design books treat AI as a footnote. This one is built around it. You won't memorize patterns — you'll develop the mental models to handle questions you've never seen before. You'll learn how to structure your thinking under pressure, communicate trade-offs clearly, and defend your decisions with confidence.Who This Book Is ForSoftware engineers targeting FAANG, AI labs, or top-tier tech rolesBackend and full-stack engineers moving into AI-powered systemsAny engineer who wants to stand out in 2026 hiring loopsIf you're serious about cracking modern system design interviews, this is the preparation your competition isn't doing.Scroll up and grab your copy today. Read more