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 Learn

• A battle-tested framework for approaching any GenAI system design question
• How LLMs, RAG, embeddings, vector databases, and prompt engineering actually work in production
• How to design for latency, cost, scalability, hallucination risk, and real-time streaming
• The trade-off thinking interviewers at FAANG and top AI companies are actively testing for

Real Interview Questions — Fully Solved

• Design a ChatGPT-like conversational system
• Build a document Q&A system using RAG
• Create a code generation assistant
• Design a customer support AI bot
• Build a multimodal AI system
• Architect an AI-powered search engine

Every question includes a detailed walkthrough — not just the answer, but the reasoning behind each decision.

Why This Book Is Different

Most 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 For

• Software engineers targeting FAANG, AI labs, or top-tier tech roles
• Backend and full-stack engineers moving into AI-powered systems
• Any engineer who wants to stand out in 2026 hiring loops

If 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.