Portkey AI

All AI roles · updated 2026.07

“Included as a consequential modern Indian agent infrastructure employer with relevant product, engineering, data or AI roles.”

stages

2–5 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
Founder or hiring manager screen60 min
tool callingAPI integrations
Prepare one quantified example demonstrating tool calling.
2
Practical role exercise60 min
API integrationsagent reliability
Prepare one quantified example demonstrating API integrations.
3
Technical/product deep dive60 min
agent reliabilitydeveloper experience
Prepare one quantified example demonstrating agent reliability.
4
Team values and ownership round90 min
developer experienceevaluation
Prepare one quantified example demonstrating developer experience.

What decides the offer

Tool calling

25%

Shows specific decisions and measurable evidence for tool calling.

API integrations

20%

Shows specific decisions and measurable evidence for API integrations.

Agent reliability

20%

Shows specific decisions and measurable evidence for agent reliability.

Developer experience

20%

Shows specific decisions and measurable evidence for developer experience.

Evaluation

15%

Shows specific decisions and measurable evidence for evaluation.

They look hardest for tool calling, API integrations, agent reliability, developer experience.

Your four weeks

Days 1–2

Company and market

·Map products, users, revenue model and competitors
·Write a one-page company thesis

Days 3–5

Core role skills

·Practice tool calling
·Practice API integrations
·Practice agent reliability

Days 6–8

Company-context cases

·Design reliable tool execution across hundreds of APIs.
·Prevent duplicate or unsafe agent actions.
·Evaluate an integration layer end to end.

Days 9–11

Technical simulations

·Complete two timed exercises
·Run one architecture/product mock
·Practice follow-up pressure

Days 12–14

Stories and final loop

·Prepare six quantified ownership stories
·Rehearse project deep dive
·Prepare interviewer questions

Practice these

Where people slip

!Generic enthusiasm about startup culture or AI
!No understanding of the company business model
!Ignoring Indian price sensitivity, regulation or operational variance
!Architecture without failure recovery and observability
!Claiming a recommended case was actually asked

Ask them this

?What is the exact loop for this team and level?
?Which rounds permit AI tools?
?What would I own in the first 90 days?
?What is the hardest product or model constraint the team faces in India?
?How does the team measure quality after launch?
?How are ESOPs valued and what is the exercise policy?