Core IT & Engineering
AI & ML engineer recruitment.
The market is full of people who have studied machine learning and thinner on people who have shipped it. Our screening is built to tell the difference.
AI-assisted delivery
Role criteria organized from your brief
AI-assisted evidence for recruiter review
Recruiters own the screen and the submission
Ecosystem & responsibilities
Certificates over shipped systems
Screens focus on what went to production, how it was evaluated and what happened when the model degraded.
Undefined role scope
Research, applied engineering and platform work look similar on paper. We help split the mandate before sourcing starts.
Small, competitive candidate pools
Senior recruiters map the market role by role instead of relying on inbound applications.
Questions
Frequently asked.
Do you recruit for LLM and generative AI roles?
Yes — applied LLM engineering, retrieval systems, evaluation and inference/serving roles, alongside classical ML and data science.
How do you assess AI candidates technically?
A structured rubric per mandate plus a recruiter-led technical probe. AI assists with the rubric and administration; a human signs off on every submission.
Tell us what you are hiring for.
Share the role, the level and the market. A senior recruiter will come back to you with a plan, not a template.