5 REAL AGENTIC AI INTERVIEW QUESTIONS (Experienced Hire Level)

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If you’re interviewing for a senior AI, ML, or platform engineering role,
these are the questions you should expect.

Not demos.
Not tutorials.
Not theoretical “what is Agentic AI” questions.

These are real interview questions asked in experienced-hire hiring loops.

In this video, I walk through 5 Agentic AI system design questions that I’ve:
• Asked candidates directly
• Seen asked by other senior engineers and architects
• Used to separate senior engineers from mid-level ones

Each question tests how you think about:
– Trade-offs, not tools
– Production constraints, not demos
– Failure modes, not happy paths

🧠 QUESTIONS COVERED

1️⃣ Multi-Agent vs Single-Agent Systems
When does modularity help, and when does it kill latency, cost, and debuggability?

2️⃣ Planner vs Executor Roles
Why separation of concerns isn’t about “clean code”, but about reliability and failure isolation.

3️⃣ Memory Design Decisions
What to store, what not to store, where memory belongs, and how privacy and compliance change the architecture.

4️⃣ Failure Handling & Retries
Timeouts, idempotency, partial failures, circuit breakers, and why “retry 3 times” is not a strategy.

5️⃣ Evaluation & Human-in-the-Loop
How senior engineers design evaluation, monitoring, and approval workflows for high-impact decisions.


If you felt confident answering these, you’re thinking at a senior level.
If not, that’s okay — these questions require real production experience.

These are the exact patterns we train engineers on inside the Agentic AI Bootcamp.
No hype. No fluff. Just real system design depth.

🔗 Learn more here:
👉 https://bootcamp.nachiketh.in

If this was useful, let me know in the comments.
I’ll continue this series if there’s interest.