What AI companies hire us for
Scarcity.
Production LLM and agent engineers are the most contested hires in technology.
Security.
AI labs hold suppliers to strict rules — identity verification, managed devices and dedicated teams.
Evaluation.
Shipping a model now means testing what it says, at scale, before customers do.
Roles in demand
Ready for an AI lab’s supplier rules
- Identity verification, a criminal search with no time limit, and 7-year employment verification
- Sanctions and export-control screening
- Full-time and contract-to-hire terms
- Remote talent across the US, Canada and India
Case studyAI Companies
From pilot to production, in six weeks.
- Hires
- 7
- Timeline
- 6 weeks
- Client
- Name withheld
The outcome
7 hires across 4 roles in 6 weeks.
- The challenge
- An AI company had moved its generative AI product from pilot to production, and demand was outrunning its engineering team. It needed a leader to own delivery, along with MLOps, data and backend engineers who had already run AI systems at scale. Earlier searches had surfaced strong researchers but few people with production experience.
- What we did
- We rebuilt the profile around production rather than research: hands-on LLM deployment, cloud infrastructure, CI/CD, and the judgment to work across product and data science. Vetted shortlists arrived within days, and placements were structured as a mix of full-time and contract-to-hire.
- The result
- 7 AI and engineering hires across 4 roles in 6 weeks; the next major release shipped on schedule.