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Personal AI agent interview preparation materials compiled from my own study, production experience building agent systems at Meta, publicly available resources, and general industry knowledge.
Note: This is my personal learning resource. All content is based on publicly available information, common interview patterns, and my own technical expertise - nothing proprietary or under NDA.
Want access? Reach out on LinkedIn or email me.
🎓 Agent Interview Prep Hub
Welcome! This is my personal AI agent interview preparation resource, organized into two focused sections: concepts (what interviewers probe in technical rounds) and system design (the open-ended "design an agent system" rounds). All content is compiled from publicly available materials, common interview questions, production experience, and my own technical study.
Agent Concept Questions
Master the fundamentals interviewers actually probe: agent architectures, tool use, MCP, context & memory, RAG, multi-agent patterns, evals, and reliability.
Agent System Design
Open-ended design problems from real production work: migration agents, support agents, eval harnesses, agent platforms. Each with constraints and a discussion framework.
💡 Pro Tip: Start with Concepts to build vocabulary, then tackle System Design problems out loud — narrate tradeoffs the way you would in a real round. Interviewers score your reasoning path, not just the final architecture.