AI Interview Questions to Ask:
What Smart Candidates Ask

Good recruiter questions: What does the interview process look like?, What's the timeline for this role?, How is the AI team structured?, What's the biggest priority for this hire?, Can you tell me about the team I'd be joining? Save detailed technical questions for engineers. Recruiters appreciate questions they can answer and that help them sell the role.

Good engineer questions: What does a typical day or week look like?, What's the most interesting AI problem you've worked on recently?, How are AI projects prioritized and scoped?, What's the biggest technical challenge the team faces?, How do you evaluate LLM output quality?, What would you change about the current AI infrastructure? These reveal real working conditions.

Good manager questions: How would you describe success in this role after 6 months?, What are the biggest challenges facing the AI team?, How do AI projects get prioritized against other engineering work?, What growth opportunities exist for someone in this role?, Why is this position open? Managers appreciate candidates who think about impact and growth.

AI-specific questions: What LLM providers do you use and why?, How do you handle AI cost management?, What's your evaluation strategy for AI outputs?, How do you approach AI safety and guardrails?, What's the ratio of building vs. integrating AI systems?, How mature is the AI infrastructure? These show you understand AI engineering challenges beyond just building cool demos.

Avoid: Questions answered on their website (shows lack of research), salary and benefits questions in early rounds (save for offer stage), negative questions about competitors or former employees, hypotheticals that put them on the spot, questions that reveal you haven't prepared ('So what does your company do?'). Also avoid asking zero questions—it signals disinterest.

Prepare 5-8 questions per interview, knowing you'll only ask 2-4. This gives you flexibility based on what gets covered naturally. Have different questions for different types of interviewers. It's fine to ask similar questions to different people—comparing answers is valuable. Write questions down so you don't forget under pressure.

Most clients invest 10-15 hours per week, but this can be flexible based on your schedule. We'll have weekly 1:1 calls plus time for you to work on projects and learning. The key is consistency. Regular, focused effort beats occasional marathons.

You become a member of the AI Native Engineer community, and you stay and keep going. Career transitions take different amounts of time for everyone, and I'm not going to abandon you if things take longer. You get ongoing support through good times and bad.

Online courses give you content. 1:1 coaching gives you a personalized roadmap, direct feedback on your work, career strategy, interview prep, and accountability. You get answers to your specific questions and guidance tailored to your unique situation instead of generic advice meant for everyone.

Investment details are discussed during the 30-minute strategy call, where we'll assess your goals and create a custom plan. The program is designed to pay for itself quickly through your increased salary. Most AI engineers see a 20-50% pay increase.

Absolutely. Most of my clients work full-time and make steady progress. We'll schedule calls at times that work for you and create a realistic plan that fits your schedule. Consistency matters more than intensity.