Salary is the easiest number to point at when you hire an AI engineer, and it is usually the smallest part of what that hire actually costs your company. In this video, Darius Gant breaks down the costs founders miss when they build the AI hiring budget around the salary line, why contract and full-time work answer different problems, and where full-time LATAM talent changes the math.
WHAT THE VIDEO COVERS:
→ The costs that never reach the salary line: the time it takes to vet specialized talent, the price of a wrong hire, and the revenue at risk when you cannot staff the product you promised
→ When a contract is the right call, for time-bound and well-defined work, and when a full-time hire is the lower total cost
→ Where full-time LATAM talent fits the cost model, from immediate payroll savings to real-time collaboration and cultural fit that compounds into the product
→ The hidden cost founders rarely track: senior engineers pulled off the product into extra interview loops and live training when the role was never clearly defined
ABOUT TESORO AI:
Tesoro AI places the top 5% of LATAM AI engineers with North American startups and growth-stage companies. Full-time, bilingual, aligned to Americas time zones, at 50 to 70 percent lower cost than US onshore. First shortlist in 7 days or less, full pods in under 30 days, with compliance, payroll, and contracts handled.
If salary is the only AI hiring cost on your spreadsheet, which of these four would change your next budget? Drop it in the comments, Darius reads them. And when you want to map your own cost structure against a full-time LATAM alternative, the link below starts a Fit Call.
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