Hiring an AI engineer is one of the costliest decisions a founder makes, and the most expensive mistakes happen before the role is ever posted.
In this conversation, Darius Gant covers five risks founders should de-risk before they hire. From confusing a research profile with a production profile, to mistaking a polished resume for real building experience, the gap between a strong-looking candidate and a strong hire is wider than it looks. Darius walks through where AI hiring quietly goes wrong, why the real cost of a bad hire is rarely just the salary, and how full-time LatAm hiring gives you a stronger hire, faster.
Chapters
- Define the role before you hire
- Real builder vs. resume expert: how to tell the difference
- When a strong candidate still goes wrong
- The real cost of a wrong AI hire (it isn’t just salary)
- How to reduce the risk, and where LatAm hiring fits
What you’ll take away
- How to define what an AI hire should actually deliver in the first 90 days
- How to spot a builder with real depth versus a candidate reciting buzzwords
- Why a wrong hire costs more in momentum and morale than it does in payroll
At Tesoro AI, we help North American teams source and vet elite AI engineers across Latin America, bilingual and aligned to Americas time zones. We handle compliance, payroll, and contracts, and source first pods in 7 days or less.
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Learn more: tesoroai.com
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