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Free · Online (Zoom) · 60 minutes · in English
Most engineers moving into AI collect tools and courses. AI interviews ask something else: what did you do when the model was slow, wrong, expensive or broken?
What we'll cover:

  • Real production failures and lessons from a consumer AI platform with 900K+ paying users and $1M+ in daily revenue, and how to turn cases like these into strong interview answers.
  • The interview questions that come out of production work, and what the interviewer is really checking.
  • How to present your own project so it sounds like production, not a tutorial: the problem, your decision, what failed, and how you verified it, in about 60 seconds.
  • The AI role map: where frontend, full-stack, backend, mobile, QA and data engineers land, so you don't restart from zero.
  • Live CV and LinkedIn reviews, anonymised. Send yours when you RSVP if you want it considered.

New since the September session:

  • Interview questions and what a strong answer contains.
  • A clear structure for presenting your project in an interview.
  • 2026 market data: where AI hiring is growing, including Forward Deployed Engineer roles.
  • CVs picked in advance from RSVPs, so each live review goes deeper.
  • Slides and the AI role map for everyone who registers.

Who it's for: software engineers with 2+ years of experience who want AI to be the next step of their career.
Host: Anton Shumeiko, Lead AI Engineer. 8+ years in software engineering, led a team of 11 engineers, went Frontend → Full-stack → AI.

Related topics

Artificial Intelligence
Artificial Intelligence Programming
Career Transition
Software Engineering
Personal & Professional Development

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