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{ "item_title" : "Cracking the AI Agent Interview", "item_author" : [" Wei Sun "], "item_description" : "Cracking the AI Agent Interview is a practical preparation guide for engineers, technical leaders, researchers, and founders navigating the rapidly evolving world of AI-agent interviews.Covering 220+ questions, this book explores the concepts and engineering decisions behind modern agent systems, including: Agent architectures and the ReAct loopMemory, context, and retrievalTool use, orchestration, and planningMulti-agent systemsEvaluation, observability, and reliabilitySecurity, permissions, and prompt-injection defenseProduction deployment and system designEvery answer uses the STAR framework-Situation, Task, Action, and Result-to help you communicate technical decisions clearly and convincingly. Rather than emphasizing memorization, the book focuses on trade-offs, failure modes, architectural reasoning, and practical engineering judgment.Whether you are preparing for a senior or staff-level interview, building production agents, or evaluating AI engineering candidates, this guide gives you a structured framework for thinking and speaking about agent systems with confidence.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/069/9798190694826_b.jpg", "price_data" : { "retail_price" : "29.99", "online_price" : "29.99", "our_price" : "29.99", "club_price" : "29.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cracking the AI Agent Interview|Wei Sun

Cracking the AI Agent Interview : 220+ Questions: Architecture, Memory, Tools, Multi-Agent Systems, and Production Engineering

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Overview

Cracking the AI Agent Interview is a practical preparation guide for engineers, technical leaders, researchers, and founders navigating the rapidly evolving world of AI-agent interviews.

Covering 220+ questions, this book explores the concepts and engineering decisions behind modern agent systems, including:

  • Agent architectures and the ReAct loop
  • Memory, context, and retrieval
  • Tool use, orchestration, and planning
  • Multi-agent systems
  • Evaluation, observability, and reliability
  • Security, permissions, and prompt-injection defense
  • Production deployment and system design

Every answer uses the STAR framework-Situation, Task, Action, and Result-to help you communicate technical decisions clearly and convincingly. Rather than emphasizing memorization, the book focuses on trade-offs, failure modes, architectural reasoning, and practical engineering judgment.

Whether you are preparing for a senior or staff-level interview, building production agents, or evaluating AI engineering candidates, this guide gives you a structured framework for thinking and speaking about agent systems with confidence.

This item is Non-Returnable

Details

  • ISBN-13: 9798190694826
  • ISBN-10: 9798190694826
  • Publisher: Independently Published
  • Publish Date: August 2026
  • Dimensions: 11 x 8.5 x 0.73 inches
  • Shipping Weight: 1.79 pounds
  • Page Count: 350

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