Notion

All AI roles · updated 2026.07

Limited public evidence

“Typical ai application hiring pattern. Expect product critique and a practical build or case tied to the company product.”

stages

2–6 weeks

end to end

practice questions

Hiring now

AI engineer roles are open right now

landed applies to roles like these for you, on each company’s own site, with answers written for the role.

Get 5x interviews10 free auto-applies. No card.

AI Engineer
InMobi · San Mateo, CA
Staff AI Engineer
Coupang · Seattle, USA
AI/ML Engineer
Kaizen Labs · New York, NY

Or practice this loop first

The interview, stage by stage

1
Recruiter screen30 min
AI product senseevaluationfull-stack execution
Prepare one concrete example and one practice problem for AI product sense.
2
Portfolio/project deep dive60 min
evaluationfull-stack executionuser trust
Prepare one concrete example and one practice problem for evaluation.
3
Product or coding exercise60 min
full-stack executionuser trustgrowth
Prepare one concrete example and one practice problem for full-stack execution.
4
AI system/product design60 min
AI product senseevaluationfull-stack execution
Prepare one concrete example and one practice problem for user trust.
5
Team panel240 min
evaluationfull-stack executionuser trust
Prepare one concrete example and one practice problem for growth.

What decides the offer

AI product sense

25%

Uses specific evidence to demonstrate AI product sense.

Evaluation

20%

Uses specific evidence to demonstrate evaluation.

Full stack execution

20%

Uses specific evidence to demonstrate full-stack execution.

User trust

20%

Uses specific evidence to demonstrate user trust.

Growth

15%

Uses specific evidence to demonstrate growth.

They look hardest for AI product sense, evaluation, full-stack execution, user trust.

Your four weeks

Week 1

Company, product and role model

·Read current product/research material
·Map the role to three company problems
·Prepare a two-minute motivation narrative

Week 2

Core technical and product competencies

·Practice AI product sense
·Practice evaluation
·Practice full-stack execution

Week 3

Timed simulations

·Complete two timed exercises
·Run one system/product design mock
·Refine six behavioral stories

Week 4

Company-specific loop rehearsal

·Practice linked questions
·Rehearse project deep dive with adversarial follow-ups
·Prepare interviewer questions and logistics

Practice these

Where people slip

!Generic motivation that could apply to any AI company
!Buzzword-heavy answers without mechanisms
!No measurable impact or personal ownership
!Ignoring cost, latency, safety or operational constraints
!Treating reported questions as a script rather than preparing underlying skills

Ask them this

?What distinguishes strong performance in the first six months?
?Which model, data or product constraint most limits the team today?
?How are research, product and engineering decisions resolved?
?How does the team evaluate AI quality before and after launch?
?What is the policy on AI-tool use during each interview stage?