The AI Engineering Interview Guide: Mastering RAG, Agents, and LLM System Design

TECH, MOMENT

ISBN 13: 9798196395406

Published by Independently published, 2026

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Bibliographic Details

• Title: The AI Engineering Interview Guide: Mastering RAG, Agents, and LLM System Design
• Publisher: Independently published
• Publication Date: 2026
• Language: English
• ISBN 13: 9798196395406
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Elevate Your Career: The Definitive Blueprint for the AI Era
Are you ready to master the most sought-after technical skillset of the decade?
As the industry shifts from simple chatbots to complex agentic reasoning, the bar for "AI Engineering" has been raised. It is no longer enough to know how to write a prompt; you must know how to build persistent, scalable, and reliable cognitive systems.
The AI Engineering Interview Guide is your comprehensive roadmap to acing the technical rounds at Tier-1 tech firms and startups alike. Written for software engineers, data scientists, and architects, this guide moves past the "vibe check" and dives deep into the rigorous architectural principles required to build production-grade AI.
What’s Inside:
Mastering RAG: Go beyond basic vector search. Learn advanced retrieval strategies, hybrid search, and reranking techniques to eliminate hallucinations.
The Agentic Loop: Transition from linear chains to autonomous agents. Master the ReAct pattern and build systems that can think, act, and observe.
Multi-Agent Orchestration: Learn to manage a "digital workforce." Architect supervisor-worker patterns and hierarchical teams using tools like LangGraph.
Persistent Memory: Design systems that remember. Implement multi-tier memory stacks—from short-term context windows to long-term semantic storage.
System Design & Scalability: Build for the real world. Optimize for latency with semantic caching, implement model tiering, and design robust fallback mechanisms.
Evaluation & Safety: Move from "it feels right" to data-driven certainty. Implement LLM-as-a-Judge, build "Golden Datasets," and deploy industrial-strength safety guardrails.
Why This Book?
The transition from a prototype to a production system is where most AI projects fail. This guide focuses on the Engineering in AI Engineering. Whether you are preparing for a L5/L6 interview at a FAANG company or building the next big AI startup, this book provides the mental models, design patterns, and code-level insights you need to succeed.
Stop guessing and start building. Master the architecture of the future and secure your place at the forefront of the AI revolution.
About the Author
MOMENT TECH is a leading voice in AI infrastructure and education, dedicated to bridging the gap between cutting-edge research and production-ready engineering. Their frameworks and guides are used by developers worldwide to build the next generation of intelligent software.