Part 2 The AI Engineering Interview: How to Prepare and What to Expect

You got the interview. Now the questions are different from the ones you prepared for five years ago, and the ones that trip people up are rarely the algorithm problems. This session is about walking in ready. Byron Mackay covers the questions to expect and the thought process to bring to them, the topics that most often catch candidates off guard mid-interview, and the pitfalls that quietly end an otherwise strong conversation. A large part of it is how you talk about AI itself: the mindset that separates vibe coding from agentic engineering is often the thing actually being assessed, and getting that framing wrong reads as inexperience. Bring the work you did between sessions and we will pressure-test how you would present it. This is part two of the series.

This Night School runs in two parts — same teacher, two sessions two weeks apart, with work to do in between. Part one on September 30 covers the transition into AI engineering and how to actually apply; part two on October 14 covers the interview itself. The second session builds on the work you do after the first, so the two are designed to be taken together.

Note on prerequisites: part one covers the transition and the application process. You can attend this session on its own, but the two are designed to run together.

Who this is for: existing software engineers transitioning into AI engineering; engineers with interviews already on the calendar; developers who attended part one and want to convert the work into offers; and anyone who can build with AI but struggles to explain how they build.