Prepping for an AI engineering interview usually looks like this: twelve tabs of Glassdoor, a Reddit thread from 2023, three YouTube videos, a half-read paper, and no idea what this specific company will actually ask.

So I went through 270 public interview reports , the write-ups and videos where candidates name the company and the question, and sorted them by company. The first thing that jumps out: every top lab has its own personality. Prepare for "AI interviews" in general and you'll be ready for none of them.

Here's what each one asks, with the real questions.

OpenAI: design it for real constraints

9 reported questions · 6 senior, 3 mid

OpenAI's list is mostly system design with hard constraints attached: latency, cost, permissions, tenants.

"Design a RAG system that has to meet strict latency and cost targets while serving many tenants."

"Design an agent for searching internal documents that respects permissions, cites sources and abstains when it should." (also reported at Google and…