Master multi-agent systems, tool use, and agent orchestration — the hottest topic in GenAI hiring loops.
AI Agents interviews test whether you can design autonomous systems that plan, use tools, and coordinate with other agents. Companies like Anthropic, Google, and startups building agent platforms focus heavily on these patterns.
This guide covers agent fundamentals and multi-agent research system design — two questions that appear in nearly every senior AI engineer loop.
Deep explanations with architecture diagrams for every question below.
AI Agents are the hottest topic in 2025–2026 GenAI interviews, but most candidates confuse agents with chatbots. Interviewers at OpenAI and Anthropic want you to articulate the agent loop — perceive, plan, act, reflect — and explain when tool use justifies agent complexity over a simple chain.
Read full explanationMulti-agent orchestration is a senior/staff-level system design question gaining traction at Google DeepMind and Microsoft. Learn the supervisor pattern, shared state management, and how to avoid the 'too many agents' anti-pattern that sinks most candidate answers.
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