Deployed in Days, Not Months

Vetted AI Engineers from LATAM.
Deployed in Days, Not Months.

A senior AI engineer in the US costs $180,000–$250,000 in base salary alone — before benefits, equity, or a 3-month onboarding curve. UAM delivers the same technical depth from LATAM in days, not months, at a fraction of the cost. Same timezone. Strong English. US cultural alignment.

Start the Brief

Your information is secure
Shortlist delivered in days
17+ Years Placing Specialists
US Timezone Coverage
AI-Specific Vetting
Month-to-Month
What You Get

Roles We Place

Every candidate is evaluated on AI and ML fundamentals, production tooling fluency, and the ability to own a system long-term — not just build a proof of concept.

AI and ML Engineer
Model training, inference pipelines, production ML systems
Data Engineer
ETL pipelines, data warehousing, real-time streaming
Automation Engineer
Workflow automation, RPA, system integration
Full-Stack AI Developer
End-to-end AI applications with production frontends
Prompt Engineer
LLM optimization, prompt design, RAG systems
AI Solutions Architect
System design, infrastructure, AI strategy

Additional roles available. If you don’t see your specific need listed, include it in the brief and we’ll assess fit.

The Problem We Solve

Why US Companies Are Struggling to Hire AI Talent

What you run into without us
  • US AI talent is expensive and the best candidates are employed or not actively searching
  • Offshore options create timezone gaps, communication friction, and turnover that erases institutional knowledge
  • Freelancers lack the commitment to own production systems long-term
  • Staffing agencies send generalist developers into AI-specific roles, then disappear
  • 6 to 12 week hiring cycles for senior AI roles, often longer
What UAM AI Talent delivers
  • US timezone overlap — real-time collaboration is the default, not the exception
  • English fluency and async communication skills validated before shortlisting
  • LATAM engineers with direct US work culture experience
  • AI-specific vetting: ML, data engineering, and production tooling depth confirmed
  • Shortlist delivered in days, with full technical vetting already done
How It Works

Four Steps from Brief to Embedded Engineer

A structured process that gets you from role definition to a working engineer — without the hiring overhead.

01

Brief

Define the role precisely. Not just the title — the stack, the autonomy level, the communication expectations, and what the engineer will actually own day to day.

02

Match

We surface a shortlist of pre-vetted candidates within days. No months-long searches. You interview, you decide.

03

Embed

Onboarding support from the UAM team through the first 30 days. We stay involved to make sure the placement is working for both sides.

04

Retain

Ongoing support, career development, and continuity planning. We treat your embedded engineer as someone worth keeping.

Managed Service

What Separates a UAM Placement from a Generic Hire

Every AI Talent placement includes UAM’s full managed service infrastructure — the same operational layer that has supported UAM clients across all verticals for 17 years.

Dedicated specialist, not a gig worker

Your engineer is a full-time professional assigned to you. They learn your codebase, your systems, and your standards.

Thorough screening

We run a structured vetting process covering technical depth, communication quality, and cultural alignment before you see a single name.

UAM operations behind every placement

HR, quality assurance, and continuity planning are handled. You focus on the work, not the logistics.

Month-to-month

No long-term lock-in. All engagements are month-to-month with a 30-day cancellation notice. We earn your business every month.

Secure data handling

Advanced access controls, MFA, and instant credential revocation on offboarding. Your systems and your clients’ data are protected at every level.

Who This Is For

Who Typically Starts Here

Ideal Buyers

  • CTOs building an AI team without a full talent acquisition function
  • VPs of Engineering with open AI roles and no bandwidth to run a search
  • COOs modernizing operations and needing technical capacity, not another SaaS subscription
  • Founders moving fast who need someone to own a system, not just advise on it
  • Companies replacing SaaS tools with custom AI and needing engineers who can build and maintain

Ideal Company Profile

  • 50 to 500 employees
  • US-based, operating in US timezones
  • At least one active AI or automation initiative
  • Hiring pressure on engineering talent, either cost or availability
  • Open to nearshore as an alternative to domestic or pure offshore
Common Questions

Frequently Asked Questions

Specialist

Have a specific question?

Talk to our team and we’ll walk through your requirements.

Talk to the Team

A staffing agency sends you resumes and moves on. UAM AI vets candidates for AI-specific technical depth, supports the onboarding through the first 30 days, and stays involved on continuity. We have been placing specialists for 17 years and our operations infrastructure is what makes placements stick.

UassistME client
UassistME client
UassistME client
UassistME client

Trusted by Engineering Leaders

Tell Us the Role.
We’ll Have a Shortlist Ready.

Faster than your job post goes live.

Most shortlists are ready within 5 business days. A typical US hire takes 6–12 weeks.

UAM builds it. UAM can run it. You don’t have to choose.

Or email us: [email protected]

17+ Years Placing Specialists
AI-Specific Technical Vetting
Month-to-Month, No Lock-In