Agentic AI Interview
Experienced Hire – Part 2

Memory, failure handling, and evaluation questions

Target Roles

• Backend Engineers
• ML Engineers
• Platform Engineers
• AI Engineers (3+ years)

Interview Focus

• System design thinking
• Production experience
• Failure handling and trade-offs

Q3: Memory Design Decisions

“How do you design memory for an agentic system?”

What the Interviewer Is Testing

• System design thinking
• Privacy and compliance awareness
• Failure mode handling

Strong Answer Signals

• Separates short-term vs long-term memory
• Explains when not to store memory
• Mentions audit and replay needs

Weak Answer Signals

• Just naming a vector database
• No privacy or retention discussion

Q4: Failure Handling & Retries

“An external API call fails. What happens next?”

What the Interviewer Is Testing

• Production readiness
• Idempotency awareness
• Operational experience

Strong Answer Signals

• Partial failure handling
• Safe retries via idempotency
• Timeouts and backoff strategy
• Observability and tracing

Weak Answer Signals

• “Retry three times with try/catch”
• No observability discussion

                Follow-up: How do you prevent cascading failures?

                How would you debug this at 3 AM?

Q5: Evaluation & Human in the Loop

“How do you know your agent is working correctly?”

What the Interviewer Is Testing

• Evaluation as a continuous process
• Risk‑based automation decisions

Strong Answer Signals

• Automated evaluation + human approval gates
• Mentions regression and monitoring
• Explains which actions require humans

Weak Answer Signals

• “Test with a few examples”
• “Human reviews everything”

                Follow-up: How do you detect drift?

                How do you measure quality over time?

Interview Success Patterns

How Strong Candidates Answer

• Ask clarifying questions first
• Explain trade-offs explicitly
• Think out loud
• Discuss failure modes proactively

                You’re not just answering questions.

                You’re demonstrating how you design, ship, and operate agentic systems.

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Agentic AI InterviewExperienced Hire – Part 2

Q3: Memory Design Decisions

Q4: Failure Handling & Retries

Q5: Evaluation & Human in the Loop

Interview Success Patterns

Go From “LLM User” to “Production Engineer”

Agentic AI Interview
Experienced Hire – Part 2