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In-house feel, nearshore

AI Engineers

Hire AI Engineers with experience deploying real-world models—ML, NLP, CV and more. From data prep to model optimization and inference, we embed engineers who push prototypes into production and drive measurable results.

  • ML, NLP, CV & GenAI implementation expertise
  • Production-ready—data pipelines, model ops, and APIs
  • Embedded fully—your tools, team & delivery cadence
Hire AI Engineers
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TRUSTED BY 300+ENGINEERING TEAMS
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Our Service

Embedded AI Engineers, Production-Focused

We place hands-on AI Engineers who don’t just prototype—they deliver. From model development to deployment, our engineers work across the full AI lifecycle, collaborating with your product and engineering teams to ship real value.

  • Matched to your tech stack and ML use case
  • Experienced in both research and production deployment
  • Backed by support for retention and delivery continuity

End-to-End AI Capability

AI Engineers who bridge science and product

Your AI Stack, Covered

From notebooks to pipelines, we place engineers who deliver real-world ML

Technology coverage

From your front end to your back end, we've got your stack handled.

Frequently placed for AI Engineers

Why Cloud Employee?

AI Talent You Can Embed and Trust

We don’t just find you someone who can build a model—we place AI Engineers who fit into your team, deliver fast, and stay long enough to evolve with your product. Backed by HR, IT, and operational support for long-term success.

  • Vetted for applied ML, not just theory
  • Embedded in your stack, team, and goals
  • Retained and supported by our delivery team
Long-tenure engineering team at work

Not Just a Hire—A Long-Term Partner

We handle onboarding, support, and HR so your AI team can focus on results.

Fully supported

We handle the rest so your engineers can focus on building.

Engineer in a performance review sessionPerformance reviews
Team member handling payroll and compliancePayroll & compliance
Dual-monitor engineering workstation and equipmentEquipment
Engineering team in a modern office workspaceWorkspace
Molly and Daniel on a welcome-to-the-team onboarding call

In-house, without the friction

No upfront fees. No lock-in contracts.

  • No placement or upfront fees
  • Rolling 30-day contract, cancel anytime
  • One monthly rate, everything included
  1. Skills
  2. Duration
  3. Commitment
  4. Details
  5. Book a call

Any particular stack?

Optional. Search anything, and add it if it is not listed.

Popular right now

  • 300+ teams built
  • 97% stay 2+ years
  • Replace if it isn't working

Got questions?

The questions CTOs and founders ask.

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Proof, not promises

Hear from our customers

In their words

What the difference feels like