What separates a strong AI hiring process from a generic one? Darius Gant, founder of Tesoro AI, breaks down the questions to answer before your next AI hire, from defining the role to keeping a great hire productive after day one.
In this video:
- Define the role before you explore candidates: required skills vs nice-to-haves, a clear first-90-days scope, and a compensation package settled upfront so offers don’t collapse months later
- Ask questions that reveal real experience: what the candidate did (not the team), where things went wrong, and the decisions they made under pressure. Those answers can’t be faked, and they test communication skills at the same time
- Write the full picture before posting: management expectations and work location stated upfront, since strong AI talent often works remote only, and hiding that behind the process costs you both quality and fit
- Protect the hire after they join: senior people want senior problems and decision-making autonomy, while junior hires (one to three years in) need mentorship and realistic timelines to grow into the role
AI talent is competitive, and the best candidates rarely sit on the bench. A tight, well-defined process makes them confident in your organization, speeds up your decisions, and saves your team from debating who they like.
At Tesoro AI, we screen the top 5% of LATAM AI engineers against your specific role requirements with human-led judgment, then handle compliance, payroll, and contracts. First shortlist in 7 days or less.
Which stage of your hiring process loses you the best candidates? Tell us in the comments.
Learn more: tesoroai.com
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