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All AI roles · updated 2026.07

Limited public evidence

“Typical model platform hiring pattern. A practical API/model task or paper/project presentation is plausible.”

stages

3–7 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
transformersinference and servingAPI design
Prepare one concrete example and one practice problem for transformers.
2
Technical project deep dive60 min
inference and servingAPI designopen-source judgment
Prepare one concrete example and one practice problem for inference and serving.
3
Coding or take home60 min
API designopen-source judgmentcustomer use cases
Prepare one concrete example and one practice problem for API design.
4
ML/system design60 min
transformersinference and servingAPI design
Prepare one concrete example and one practice problem for open-source judgment.
5
Team and values interviews60 min
inference and servingAPI designopen-source judgment
Prepare one concrete example and one practice problem for customer use cases.

What decides the offer

Transformers

25%

Uses specific evidence to demonstrate transformers.

Inference and serving

20%

Uses specific evidence to demonstrate inference and serving.

API design

20%

Uses specific evidence to demonstrate API design.

Open source judgment

20%

Uses specific evidence to demonstrate open-source judgment.

Customer use cases

15%

Uses specific evidence to demonstrate customer use cases.

They look hardest for transformers, inference and serving, API design, open-source judgment.

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 transformers
·Practice inference and serving
·Practice API design

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?