LlamaIndex

All AI roles · updated 2026.07

Limited public evidence

“Typical developer tools hiring pattern. Realistic repository work and shipping judgment often matter more than puzzle-only performance.”

stages

2–6 weeks

end to end

practice questions

Hiring now

LlamaIndex is hiring 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.

Technical Lead Manager - Platform Engineering
San Francisco
Member of Technical Staff, Applied Research
San Francisco
Member of Technical Staff, Backend
San Francisco

Or practice this loop first

The interview, stage by stage

1
Recruiter or founder screen30 min
developer experiencecoding agentssystem design
Prepare one concrete example and one practice problem for developer experience.
2
Live coding or repository task60 min
coding agentssystem designproduct velocity
Prepare one concrete example and one practice problem for coding agents.
3
Product/system design60 min
system designproduct velocitytechnical communication
Prepare one concrete example and one practice problem for system design.
4
Project deep dive60 min
developer experiencecoding agentssystem design
Prepare one concrete example and one practice problem for product velocity.
5
Team values60 min
coding agentssystem designproduct velocity
Prepare one concrete example and one practice problem for technical communication.

What decides the offer

Developer experience

25%

Uses specific evidence to demonstrate developer experience.

Coding agents

20%

Uses specific evidence to demonstrate coding agents.

System design

20%

Uses specific evidence to demonstrate system design.

Product velocity

20%

Uses specific evidence to demonstrate product velocity.

Technical communication

15%

Uses specific evidence to demonstrate technical communication.

They look hardest for developer experience, coding agents, system design, product velocity.

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 developer experience
·Practice coding agents
·Practice system 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?