Nearshore AI developers · Colombia

Add AI Developers Without Adding U.S. Headcount.

Experienced AI developers in Colombia, embedded directly into your U.S. team. Add specialized capacity, accelerate projects, and build your AI roadmap without the cost and complexity of adding U.S. headcount.

See How It Works

Dedicated AI developers · U.S. time-zone alignment · From $5,800/month

Connected AI engineering workflow
Engineering capacity · Embedded with your team
Embedded engineering systemYour roadmap · Your tools
01The problem

AI Is Moving Faster Than Your Hiring Plan.

Most companies don't need another strategy deck. They need engineers who can actually build.

01

Need AI Expertise Now

Add experienced AI engineering capacity without waiting months to build a U.S. hiring pipeline.

02

U.S. Hiring Is Expensive

Salary is only part of the cost. Benefits, payroll taxes, recruiting, retirement, equipment, and employment overhead add up quickly.

03

AI Requires Collaboration

Your engineers need to work alongside product, engineering, and technical leadership—not operate as a disconnected offshore team.

02How it works

Your Team. Your Projects. Your AI Developers.

Your team controls the roadmap, architecture, tools, priorities, and working practices. Keitton provides the dedicated engineering talent and talent infrastructure.

01

Tell Us What You Need

Share the skills, experience, and AI capabilities you're looking for.

02

Meet Your Engineers

We present qualified candidates aligned to your technical requirements and team.

03

Select Your Team

Interview the engineers and choose the people who are the right fit.

04

Start Building

Your engineers join your team and begin working on your projects.

Candidates can typically be presented within days. Start timing depends on role, availability, and interview process.

03Capabilities

AI Developers Ready to Build.

From your first AI application to production systems, Keitton provides engineering capacity across the modern AI stack.

01

LLM Applications

Production AI applications using leading foundation models.

02

AI Agents & Workflows

Agents, tool calling, orchestration, state management, and enterprise workflows.

03

RAG & Knowledge Systems

Embeddings, vector search, retrieval, reranking, citations, and enterprise knowledge.

04

Data Engineering

Python, SQL, data pipelines, Databricks, Snowflake, and enterprise data integration.

05

Cloud & Deployment

AWS, Azure, Google Cloud, Docker, Kubernetes, serverless infrastructure, and production deployment.

06

AI Evaluation & Security

Testing, monitoring, governance, permissions, security, and production controls.

Additional expertise can include machine learning, PyTorch, TensorFlow, Hugging Face, React, Next.js, Streamlit, and other technologies based on project requirements.

Built for technology companies, SaaS teams, software companies, biotech/life sciences teams, and growing organizations building AI products and internal AI capabilities.

04Why nearshore

Why Nearshore AI Engineering?

The advantage isn't simply lower cost. It's the combination of engineering talent, U.S. time-zone alignment, communication, and cost efficiency.

United States

U.S. Employee

Illustrative Bay Area employer cost

Mid-Level~$225K / year
Senior~$275K / year
AI Tech Lead~$320K / year

Salary is only part of the equation.

  • Base salary
  • Payroll taxes
  • Healthcare
  • 401(k)
  • Workers' compensation
  • Recruiting
  • Equipment & software
  • Other employment overhead

Illustrative planning estimates. Actual employer costs vary.

India

India

Illustrative international benchmark

~$60K–$65K / year

Costs vary by city, seniority, employment structure, benefits, and provider.

Strengths
  • Large technology talent pool
  • Strong software engineering ecosystem
  • Competitive cost structure
  • Significant AI/software experience
Tradeoffs
  • Significant U.S. time-zone difference
  • More asynchronous collaboration
  • More difficult real-time overlap with U.S. teams
Colombia / LATAM

Colombia / LATAM

Keitton

Mid-Level AI Developer$5,800/mo
Senior AI Developer$6,500/mo
AI Tech Lead$7,500/mo

Dedicated full-time AI developers working directly with your team.

  • U.S. time-zone alignment
  • Dedicated capacity
  • Talent sourcing and screening
  • Team integration
  • Ongoing support
  • Flexible scaling

The Nearshore Advantage

01

U.S. Time-Zone Alignment

Your AI developers work during the same business day as your U.S. team.

02

Real-Time Collaboration

Standups, code reviews, pairing, product discussions, and feedback happen in real time.

03

Engineering Talent

Access dedicated AI and software engineering capacity without limiting your search to the U.S.

04

Cost Efficiency

Add dedicated engineering capacity at a substantially lower estimated cost than Bay Area full-time employment.

05Cost calculator

What Would Your AI Team Cost?

Build your team and compare the estimated cost of U.S. hiring with Keitton.

Team builder

AI Developers from $5,800/month

Keitton $17,400/mo$208,800/yr

Illustrative Bay Area fully loaded employer cost: Mid-Level ~$225K · Senior ~$275K · Tech Lead ~$320K

Your AI Team
3 AI Developers
Keitton
$208,800 / year
Estimated U.S. Employer Cost
$679,500 / year
Estimated Annual Difference
$470,700

That's approximately $39,225/month in estimated cost difference.

Methodology

U.S. employer-cost estimates are illustrative planning benchmarks for a Bay Area technology company. They include base salary plus estimated employer payroll taxes, healthcare, retirement contributions, workers' compensation, recruiting/onboarding, equipment, software, and other employment overhead.

Actual costs vary by company, location, benefits plan, employee participation, hiring model, compensation structure, and recruiting costs.

International employment and engagement costs vary by country, city, seniority, employment structure, benefits, provider, and exchange rates.

These estimates are provided for planning purposes and are not quotes, guarantees, or tax/accounting advice.

06Next step

Ready to Build Your AI Team?

Start with one developer. Build a team. Scale when you're ready.