A clean interview can still miss risks that affect delivery after the hire. Here are five to address before day one.
Andrea sits down with Tesoro AI founder Darius Gant to walk through five AI hiring risks that stay hidden through a clean interview and only surface around month three: the remote hire who still has not shipped, a polite yes that turns out to mean no, and a role you wrote that never matched the work you actually needed. For each one, they cover how to take the risk off the table before day one.
If you are about to open an AI role, this is the checklist to run against your own setup first.
In this video:
- Delivering in production: candidates can now sound fluent about work they never really did, so the real question is what this person built, and whether your work cadence and culture were honest upfront
- Cross-border communication: remote teams need a deliberate communication rhythm, or a new teammate starts to feel like a drop-in contractor instead of part of the team
- Hiring too late: In a fast-moving field, a slow hire can cost roadmap momentum and market position.
- Fuzzy role definition: “AI engineer” is too broad. Define the exact skill set, domain, and work outcomes before sourcing.
- Pre-day-one setup: the first 90 days are when a hire is most motivated, so having the laptop, data, access, and a clear roadmap ready is what turns a good hire into a productive one
The cross-border risks are the ones we take off your plate directly. We source and screen LATAM AI engineers against your specific role requirements, confirm bilingual capability and Americas time-zone alignment, and handle compliance, payroll, contracts, and onboarding logistics.
Before your next AI hire, run these five risks against your own setup and count how many you already have a plan for. Which of these five risks has cost your team the most? Tell us in the comments.
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