Software Engineer → AI Engineer: Live Career Checkup
Details
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
