AI Engineer Hired in 3.5 Weeks: How Ride the Wave Saved $65K/Year

Snapshot:

Business: Home Services Marketing Agency (Ride the Wave)

Roles Hired: AI Engineer sourced from Mexico

Objective: Hire a high-performing AI engineer capable of delivering production-ready solutions without paying U.S.-level compensation.

Outcome: One direct hire completed in approximately 3.5 weeks, saving $65,000 per year while adding proven AI engineering expertise to the team.

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The Problem:

Ride the Wave needed a strong AI engineer — and they didn't want to pay U.S. prices for one. The bar was simple to state but hard to hit: a genuinely excellent technical executor who could come in and get the work done, without the U.S. salary attached. AI is one of the hardest spaces to hire in right now because it's full of false positives, plenty of people can talk about AI; far fewer can actually execute at a high level. They needed the real thing, not the resume version.

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The Strategy:

Because the whole point was a top-tier executor at a fraction of the U.S. cost, we sourced across LATAM for proven AI engineers and screened for execution over talk. We weren't looking for someone who could describe the tools — we were looking for someone with a track record of actually shipping, who could operate independently and deliver without hand-holding.

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The Result:

We placed a strong AI engineer out of Mexico, saving Ride the Wave $65,000 a year versus a comparable U.S. hire. They got exactly what they were after: a genuinely capable executor who could step in and deliver, without the U.S. price tag, the technical horsepower they needed at a cost that actually made sense.

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Why It Works

At Zabota, we focus on proven execution — not candidates who simply know the latest AI buzzwords.

For Ride the Wave, we sourced experienced AI engineers across LATAM and prioritized candidates with demonstrated experience building and shipping real AI solutions. By hiring directly from Mexico, the company secured senior technical talent, accelerated its AI initiatives, and reduced annual hiring costs by $65,000 compared to an equivalent U.S. hire.