AI Recruitment
AI is not a trend. It is reshaping how companies are built, how products work, and how teams operate. The demand for real AI talent is at an all-time high, and the people worth hiring are rarely available. As a specialist AI headhunter, I know where to find them.
Why AI Recruitment Requires a Different Approach
A keyword search for “machine learning engineer” returns thousands of profiles. Most of them are not what you need. Because AI roles require a rare combination of deep technical skill, research ability, and practical product thinking, surface-level screening wastes everyone’s time.
I go deeper. I verify technical backgrounds, assess real experience against your stack, and distinguish between candidates who understand AI in theory and those who have actually built something with it. Moreover, I stay current with how this space evolves, which means I understand what you are looking for before you finish explaining it.
Who I Place Through AI Recruitment
Machine learning engineers and researchers. Data scientists and data engineers. AI product managers who bridge research and real-world application. MLOps and infrastructure specialists. NLP, computer vision, and generative AI experts. AI ethics, governance, and compliance professionals. Leadership roles including CTO, Head of AI, and Chief Data Scientist.
From early-stage AI startups to global scaleups, the standard stays the same.
How My AI Recruitment Works
Every search starts with understanding your product, your tech stack, and where you are going. From there, I tap into a niche network built specifically around AI and Web3 professionals who are not actively looking but would move for the right opportunity.
Every candidate I submit has been properly assessed and verified. No inflated CVs, no buzzword collectors. Just people who can actually do the work.
If you need someone embedded in your hiring process across multiple AI roles, take a look at my Fractional Talent Partner service instead.
Let’s find the person who moves your AI forward.