AI Developer Interview Questions That Actually Predict Performance

Many AI interviews test memorised definitions. But knowing what a transformer is does not tell you whether someone can deliver a working tool to your team. Focus instead on how candidates think about real problems.

Problem-framing questions

• "Here is our problem. What would you build first, and what would you deliberately leave out?"
• "How would you know this project is succeeding after one month?"
• "When would you not use AI for this?"

Good sign: they ask about users, data and success metrics before naming technologies.

Practical engineering questions

• "Walk me through an AI feature you put into production. What broke after launch?"
• "How do you handle slow or failed responses from an AI API?"
• "How do you keep API keys and customer data secure?"
• "How do you test a feature whose output changes every time?"

Quality and evaluation questions

• "How would you measure whether the assistant's answers are correct?"
• "What would you do if users report wrong answers?"
• "How do you reduce made-up (hallucinated) answers?"

Cost and operations questions

• "How would you estimate the monthly running cost?"
• "How would you reduce cost if usage doubled?"

Communication questions

• "Explain this project to our sales manager in two minutes."
• "How would you report progress each week?"

The best predictor: a small paid task

Give a realistic, time-boxed task using sample data — for example, extracting fields from five invoices or answering ten questions from a handful of documents. Review:

Prefer pre-vetted developers? You can interview our developers for free before deciding.