EPAM Systems vs BairesDev: full comparison for 2026
Quick verdict
EPAM Systems (4.6/5) edges ahead of BairesDev (4.3/5) overall. EPAM Systems is the better choice for large enterprises, regulated industries, multi-team AI programs. BairesDev is the stronger option for U.S. companies needing several AI engineers on matching hours. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs BairesDev: head-to-head summary
| Criterion | EPAM Systems | BairesDev |
|---|---|---|
| Founded | 1993 | 2009 |
| HQ | Newtown, Pennsylvania, USA | San Francisco, California, USA |
| Team size | 61,000+ | 4,000+ |
| Rating | 4.6 / 5 | 4.3 / 5 |
| Primary differentiator | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | A large salaried Latin American bench that works U.S. time zones |
| Pricing model | Time and materials for augmented engineers; dedicated team and managed program contracts; rates on request | Monthly per-engineer rates for staff augmentation; dedicated teams; project pricing; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | Financial services, Healthcare & life sciences, Retail & e-commerce, Software & SaaS, Travel, Manufacturing | Software & SaaS, Financial services, Healthcare & life sciences, Media, Retail & e-commerce |
EPAM Systems vs BairesDev: overview
EPAM Systems
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, with roughly 61,000 employees across delivery centers in Europe, the Americas and Asia. It is a public company listed on the New York Stock Exchange. On its Q2 2026 earnings call, management said EPAM had more than 5,700 Anthropic-certified engineers and was among the five largest certified partners worldwide, with AI-native work making up about 11% of revenue. EPAM employs its engineers directly and sells them as augmented capacity, dedicated teams or managed programs, though most large accounts end up in the managed model.
BairesDev
BairesDev was founded in Buenos Aires in 2009 and now lists its headquarters in San Francisco. The company says it employs more than 4,000 professionals working remotely from over 50 countries, most of them in Latin America. It offers staff augmentation, dedicated teams and full software outsourcing, with an AI and data science practice inside the wider engineering group. BairesDev hires engineers onto its own payroll, so clients deal with one vendor contract rather than individual freelancers.
Services and capabilities: EPAM Systems vs BairesDev
| Capability | EPAM Systems | BairesDev |
|---|---|---|
| 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: EPAM Systems vs BairesDev
| Framework / platform | EPAM Systems | BairesDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| MLflow | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: EPAM Systems vs BairesDev
| Criterion | EPAM Systems | BairesDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs BairesDev
| Dimension | EPAM Systems | BairesDev |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare & life sciences, Retail & e-commerce | Software & SaaS, Financial services, Healthcare & life sciences |
| Best use cases | Adding a 15-person GenAI squad to a bank's existing platform team, Rolling out agentic workflows across several business units under one master agreement | Adding three ML engineers to a U.S. product team on Eastern time, Staffing data engineering and model serving together for a new AI feature |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
EPAM Systems vs BairesDev: pros and cons
| EPAM Systems | |
|---|---|
| + | A Q2 2026 earnings call put its Anthropic-certified engineer count above 5,700, the largest verified GenAI bench on this list |
| + | Public-company reporting, audited financials and mature security reviews make vendor onboarding easier at banks and insurers |
| + | Can staff ten or more AI engineers in parallel across several time zones without running out of senior people |
| + | Deep data-platform practice means LLM work and the data engineering under it can come from one supplier |
| - | Rates are among the highest on this list and are only shared after scoping |
| - | Small requests for one or two engineers rarely get the same attention as large programs |
| - | Engagements tend to drift toward managed delivery, which moves decisions away from your own team |
| BairesDev | |
|---|---|
| + | Full working-day overlap with U.S. teams makes pairing and live reviews easy |
| + | Can fill AI, data and the surrounding web roles from one contract |
| + | Engineers are salaried employees, so replacement is the vendor's problem |
| - | AI is one practice among many, so screening depth for ML research roles varies |
| - | Pricing is quoted per engagement and is reported to sit above smaller nearshore rivals |
| - | Heavy marketing makes it hard to separate its AI claims from its general engineering pitch |
Who should choose EPAM Systems?
A typical fit: adding a 15-person GenAI squad to a bank's existing platform team.
Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare & life sciences, Retail & e-commerce, Software & SaaS, Travel, Manufacturing.
Who should choose BairesDev?
A typical fit: adding three ML engineers to a U.S. product team on Eastern time.
A large salaried Latin American bench that works U.S. time zones. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Healthcare & life sciences, Media, Retail & e-commerce.
Decision matrix: EPAM Systems vs BairesDev
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; EPAM Systems rates higher overall |
| You want the supplier to own delivery as well as staffing | Both; EPAM Systems rates higher overall |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: EPAM Systems (Not published) vs BairesDev (Not published) |
| You need overlap with U.S. working hours | BairesDev |
| You need specialist depth in a specific vertical | EPAM Systems |
Use case fit: EPAM Systems vs BairesDev
| Use case | EPAM Systems fit | BairesDev fit | Winner |
|---|---|---|---|
| Adding a 15-person GenAI squad to a bank's existing platform team | Strong | Strong | Both equally |
| Rolling out agentic workflows across several business units under one master agreement | Strong | Limited | EPAM Systems |
| Adding three ML engineers to a U.S. product team on Eastern time | Strong | Strong | Both equally |
| Staffing data engineering and model serving together for a new AI feature | Limited | Strong | BairesDev |
Verdict: EPAM Systems vs BairesDev
EPAM Systems (4.6/5) is the stronger overall choice for most AI Staff Augmentation projects. Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes.
BairesDev (4.3/5) is worth a look if you need staffing data engineering and model serving together for a new AI feature. If your situation matches that, BairesDev is a competitive option.
Related comparisons
EPAM Systems vs BairesDev FAQ
Is EPAM Systems better than BairesDev?
EPAM Systems (4.6/5) scores higher overall, but "better" depends on your use case. EPAM Systems's strongest advantage: a Q2 2026 earnings call put its Anthropic-certified engineer count above 5,700, the largest verified GenAI bench on this list. BairesDev's strongest advantage: full working-day overlap with U.S. teams makes pairing and live reviews easy.
How do EPAM Systems and BairesDev differ in pricing?
EPAM Systems uses time and materials for augmented engineers; dedicated team and managed program contracts; rates on request pricing. BairesDev uses monthly per-engineer rates for staff augmentation; dedicated teams; project pricing; 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: EPAM Systems or BairesDev?
EPAM Systems is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between EPAM Systems and BairesDev?
EPAM Systems's primary differentiator is: thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes. BairesDev's primary differentiator is: a large salaried Latin American bench that works U.S. time zones. They also differ in team size (61,000+ vs 4,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Healthcare & life sciences vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.