Frontier Engineering

Interview Atlas

A map of the AI interview, not a pile of questions.

Most interview preparation starts with questions and never explains the shape of the thing you are preparing for. The Atlas goes the other way: what the stages are, what each one is really measuring, what a given employer visibly cares about, and only then what to practise.

Three ways in

The loop, end to end

Not every company runs all six, and few run them in exactly this order. This is the superset — recognise which ones you are facing and prepare for those.

  1. 01

    Recruiter screen

    A 20-30 minute calibration call that decides which loop you get, at what level, and whether you get one at all.

  2. 02

    Technical screen

    45-60 minutes with an engineer: a coding problem, a practical ML exercise, or both, usually in a shared editor.

  3. 03

    AI system design

    The round that separates levels: design a production AI system under real constraints and defend the tradeoffs out loud.

  4. 04

    Applied take-home or pair programming

    A small real problem, done either on your own time or alongside an engineer, followed by a review that is the actual interview.

  5. 05

    Behavioural and values

    Structured questions about past work, scored against a rubric — and for AI roles, increasingly about judgement on safety and deployment.

  6. 06

    Team matching, offer, and negotiation

    The stage after the loop: choosing the team, reading the offer properly, and negotiating without damaging the relationship.

How these guides are written

The company guides describe real employers, so they are held to a stricter rule than the rest of the site: every guide cites the primary public material it was written from, carries the date it was last reviewed, and says plainly that the company's own careers page is authoritative. Where no source supports a claim about the loop, the guide does not make one — it describes what the company visibly values instead.