You’re searching for AI talent and every recruiter quotes a different price. Some are cheap. Some charge a premium. And nobody explains what’s actually behind the number.
In this video, Andrea from Tesoro AI breaks down what goes into the cost of specialized AI recruiting why volume-based pipelines fail for ML Engineers and AI Scientists, what rigorous vetting actually includes, and what happens when companies try to save money on a hire that ends up costing them months of runway.
Chapters:
0:10 – Why AI recruiting prices vary so much
0:40 – What you’re actually paying for (volume vs. precision)
1:15 – Roles that break the generic pipeline
1:30 – The real question: ML libraries vs. production
2:30 – Tesoro’s 4-step AI vetting framework
3:20 – How we detect AI resume inflation
4:00 – Why your first AI hire is a leadership decision
4:20 – The hidden cost of slow AI hiring
5:10 – $150K/month burn rate math
5:40 – Why cheap recruiting creates false positives
6:10 – What ‘done right’ AI recruiting optimizes for
Key takeaway:
The cheapest recruiter optimizes for volume. We optimize for precision. Those are fundamentally different products.
Ready to hire AI talent the right way?
Book a Talent Strategy Call: https://tesoroai.com/contact-form/
Learn more: https://tesoroai.com/
Related Resources:
- What Does AI Recruiting Cost? (Full Article): https://tesoroai.com/blog-articulos/direct-placement-vs-staff-augmentation-what-youre-actually-paying-for-and-how-to-choose/
- The Biggest Red Flags in AI Candidate Interviews: https://tesoroai.com/podcast-archive/how-to-evaluate-ai-candidates-proof-of-work-decision-making-and-communication/
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