AI & machine learning
recruitment.
Hire AI engineers who can turn technical ambition into working products. We help founders and CTOs define the role, assess relevant experience and build a focused shortlist.
Discuss your hiring brief ↗From promising models to production systems.
AI hiring starts with a sharper brief. An applied AI engineer, a research engineer and an inference specialist solve different problems. Start with the outcomes your team needs, then decide which evidence belongs in the assessment.
Where we focus
↗ Applied AI and product engineering
↗ Production machine learning and MLOps
↗ LLM infrastructure and inference
↗ AI research engineering
Know what good
looks like.
Define outcomes, not just tools
Agree what the person should own, what they should achieve and which constraints matter. Distinguish essential experience from skills that can be learned.
Ask for relevant evidence
Use a consistent assessment and record the candidate’s decisions, trade-offs and contribution. Identify questions for your team to explore before making a hiring decision.
Read the hiring guide ↗Great teams don’t
happen by chance.
Tell us what you’re building. Let’s find the people to build it.