Founders are hiring AI engineers using the same process they use for every other role. That’s the first mistake.
AI hiring is a different category. The skillset is new, the talent pool is competitive, and the wrong recruiting model can waste months before you realize it isn’t working.
In this conversation, Darius Gant (Tesoro AI) breaks down the three recruiting models available for AI hiring: in-house teams, agencies (generalist vs. specialist), and talent marketplaces. He explains when each one makes sense, where each one breaks down, and how to match the model to what you’re actually hiring for.
Chapters:
0:00 – The biggest mistake founders make picking a hiring model 0:30 – Why AI hiring is a different flavor 1:10 – The 3 models: in-house, agency, marketplace 2:20 – Model 1: When in-house recruiting works (and when it doesn’t) 3:00 – The AI resume flood hitting internal recruiting teams 3:25 – Model 2: Marketplaces and the gig mindset problem 4:00 – Why marketplace talent is project-focused, not career-focused 5:10 – When marketplaces work: advisory and senior specialists 5:35 – Model 3: Generalist agencies vs. specialist agencies 6:30 – Where Tesoro AI fits in this picture 7:15 – 5 pre-vetted resumes, not 40 7:40 – Junior AI hiring vs. senior AI hiring (different models for each) 8:30 – Quick decision guide: which model fits your stage 9:00 – CTA
Key takeaway:
The model should match the outcome. In-house works when your team has bandwidth and AI expertise. Marketplaces work for project-based or advisory roles. Generalist agencies can’t go deep enough on AI skillsets. For senior AI hires who need to ship to production and stay long-term, you need a specialist who can vet deep and send five candidates you’re genuinely excited about.
The 3 models at a glance:
In-house: Your recruiters have bandwidth + AI hiring expertise. Best when the team can go deep on AI role requirements and filter AI-generated resumes at scale.
Marketplace: Good for project-based work, gig roles, or senior advisory. Less suited for long-term, full-time AI team building. Talent on these platforms is often project-focused, not career-focused.
Specialist agency (Tesoro AI): 5 pre-vetted candidates who’ve already passed technical and cultural vetting. Best for senior AI/ML roles where the cost of a wrong hire is measured in months of runway.
Want to figure out which model fits your stage? Start with a conversation: https://tesoroai.co Book a Talent Strategy Call: https://tesoroai.co/talent-strategy-call
More from Tesoro AI: Why AI Recruiting Costs More (And What You’re Paying For): [link] How Big Tech Distorts the AI Talent Market: [link] Why AI Hires Fail: The 4-Layer Vetting Framework: [link] Why AI Hires Fail: A Recruiter’s Technical Deep-Dive: [link]
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