BairesDev vs EPAM Systems: full comparison for 2026
Quick verdict
BairesDev (4.5/5) edges ahead of EPAM Systems (3.9/5) overall. BairesDev is the better choice for U.S. companies needing several engineers in American time zones. EPAM Systems is the stronger option for global enterprises with large, compliance-heavy AI programs. The right choice depends on your project size, budget, and required tech stack.
BairesDev vs EPAM Systems: head-to-head summary
| Criterion | BairesDev | EPAM Systems |
|---|---|---|
| Founded | 2009 | 1993 |
| HQ | San Francisco, USA (delivery across Latin America) | Newtown, Pennsylvania, USA |
| Team size | 1,001–5,000 | 62,850 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | Largest employed LatAm engineering bench on this list | Scale, compliance maturity and vendor certifications |
| Pricing model | Monthly per engineer; dedicated teams; rates on request | Enterprise time and materials; dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Claude, OpenAI, Gemini |
| Industries served | Fintech, Healthcare, SaaS, E-commerce, Media | Fintech, Healthcare, Retail, Manufacturing, Travel |
BairesDev vs EPAM Systems: overview
BairesDev
BairesDev was founded in 2009 in Buenos Aires and lists its headquarters in San Francisco. It employs its own engineers across Latin America, with more than 4,000 on staff according to the company; LinkedIn places it in the 1,001–5,000 employee band. Its staff-augmentation service typically stands up teams in about two weeks, and a separate AI-augmented engineer option targets teams in two to four weeks (per company website; independently unverifiable). Engineers work U.S.-aligned hours, which is the main reason hiring managers in North America choose it over Eastern European firms.
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with about 62,850 employees as of June 30, 2026, of whom roughly 56,650 work in delivery. It reports more than 5,700 Claude-certified engineers and set a target of 10,000, along with thousands of OpenAI- and Gemini-certified specialists. The company is targeting $600 million in AI-native services revenue for 2026. Its model is enterprise delivery, so individual staff augmentation usually sits inside a larger program.
Services and capabilities: BairesDev vs EPAM Systems
| Capability | BairesDev | EPAM Systems |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✓ |
| MLOps & deployment | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✓ | ✓ |
| AI agent development | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
Tech stack comparison: BairesDev vs EPAM Systems
| Framework / platform | BairesDev | EPAM Systems |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | ✓ |
| AWS SageMaker | ✓ | ✓ |
| Azure ML | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: BairesDev vs EPAM Systems
| Criterion | BairesDev | EPAM Systems |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: BairesDev vs EPAM Systems
| Dimension | BairesDev | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | Fintech, Healthcare, Retail |
| Best use cases | Building a mixed team of ML, data and backend engineers on U.S. hours, Scaling an existing AI product team by several seats within a month | Staffing a multi-team GenAI program at a global bank, Adding certified Claude engineers to an enterprise AI platform |
| Typical project type | Full-time dedicated engineers | Dedicated team |
BairesDev vs EPAM Systems: pros and cons
| BairesDev | |
|---|---|
| + | Can fill five or ten seats at once, which most AI specialists on this list cannot |
| + | Engineers are BairesDev employees, so contracts and payroll stay off your books |
| + | Full working-day overlap for U.S. teams |
| + | Covers data engineering and DevOps around the ML work |
| - | AI is one practice among many; depth varies by individual engineer |
| - | Heavy marketing presence can overstate how specialized any given placement will be |
| - | Rates are not published |
| EPAM Systems | |
|---|---|
| + | Largest bench on this list, with security and compliance processes to match |
| + | Thousands of engineers certified on major model platforms |
| + | Can staff any role an AI program needs |
| - | Built for enterprise programs; a single-engineer request is a poor fit |
| - | Highest overhead and slowest procurement on this list |
| - | Rates not published |
Who should choose BairesDev?
A typical fit: building a mixed team of ML, data and backend engineers on U.S. hours.
Largest employed LatAm engineering bench on this list. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, SaaS, E-commerce, Media.
Who should choose EPAM Systems?
A typical fit: staffing a multi-team GenAI program at a global bank.
Scale, compliance maturity and vendor certifications. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail, Manufacturing, Travel.
Decision matrix: BairesDev vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | BairesDev |
| Your budget is at the lower end | Compare: BairesDev (Not disclosed) vs EPAM Systems (Not disclosed) |
| You need specialist depth in a specific vertical | BairesDev |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: BairesDev vs EPAM Systems
| Use case | BairesDev fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Building a mixed team of ML, data and backend engineers on U.S. hours | Strong | Limited | BairesDev |
| Scaling an existing AI product team by several seats within a month | Strong | Limited | BairesDev |
| Staffing a multi-team GenAI program at a global bank | Limited | Strong | EPAM Systems |
| Adding certified Claude engineers to an enterprise AI platform | Strong | Strong | Both equally |
Verdict: BairesDev vs EPAM Systems
BairesDev (4.5/5) is the stronger overall choice for most AI Staffing projects. Largest employed LatAm engineering bench on this list.
EPAM Systems (3.9/5) is worth a look if you need adding certified Claude engineers to an enterprise AI platform. If your situation matches that, EPAM Systems is a competitive option.
Related comparisons
BairesDev vs EPAM Systems FAQ
Is BairesDev better than EPAM Systems?
BairesDev (4.5/5) scores higher overall, but "better" depends on your use case. BairesDev's strongest advantage: can fill five or ten seats at once, which most AI specialists on this list cannot. EPAM Systems's strongest advantage: largest bench on this list, with security and compliance processes to match.
How do BairesDev and EPAM Systems differ in pricing?
BairesDev uses monthly per engineer; dedicated teams; rates on request pricing. EPAM Systems uses enterprise time and materials; dedicated teams; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: BairesDev or EPAM Systems?
BairesDev is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between BairesDev and EPAM Systems?
BairesDev's primary differentiator is: largest employed LatAm engineering bench on this list. EPAM Systems's primary differentiator is: Scale, compliance maturity and vendor certifications. They also differ in team size (1,001–5,000 vs 62,850), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).
Verify all details directly with each agency before making a decision.