Best AI Staffing Agencies

BairesDev vs Mobilunity: full comparison for 2026

Quick verdict

BairesDev (4.5/5) edges ahead of Mobilunity (4.2/5) overall. BairesDev is the better choice for U.S. companies needing several engineers in American time zones. Mobilunity is the stronger option for budget-conscious teams hiring a dedicated AI developer. The right choice depends on your project size, budget, and required tech stack.

BairesDev vs Mobilunity: head-to-head summary

Criterion BairesDev Mobilunity
Founded 2009 2010
HQ San Francisco, USA (delivery across Latin America) Kyiv, Ukraine
Team size 1,001–5,000 ~150 on client teams
Rating 4.5 / 5 4.2 / 5
Primary differentiator Largest employed LatAm engineering bench on this list Recruits each hire to your spec at one of the lower rate bands here
Pricing model Monthly per engineer; dedicated teams; rates on request Monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band)
Min. engagement Not disclosed 1 dedicated developer
Primary tech stack Python, TensorFlow, PyTorch Python, TensorFlow, PyTorch
Industries served Fintech, Healthcare, SaaS, E-commerce, Media SaaS, Fintech, E-commerce, Healthcare

BairesDev vs Mobilunity: 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.

Mobilunity

Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.

Services and capabilities: BairesDev vs Mobilunity

Capability BairesDev Mobilunity
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 Mobilunity

Framework / platform BairesDev Mobilunity
PyTorch ✓ ✓
TensorFlow ✓ ✓
LangChain N/A N/A
Hugging Face N/A N/A
OpenAI N/A ✓
AWS SageMaker ✓ N/A
Azure ML ✓ N/A
Databricks ✓ N/A
MLflow N/A N/A
Kubernetes N/A N/A

Pricing comparison: BairesDev vs Mobilunity

Criterion BairesDev Mobilunity
Minimum engagement Not disclosed 1 dedicated developer
Engagement models Full-time dedicated engineers, Dedicated team, Managed delivery Full-time dedicated engineers, Part-time fractional experts, Dedicated team
Rate transparency Not public Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: BairesDev vs Mobilunity

Dimension BairesDev Mobilunity
Best company size Startup to mid-market Startup to mid-market
Best industries Fintech, Healthcare, SaaS SaaS, Fintech, E-commerce
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 Hiring one dedicated ML engineer on a tight budget, Bringing in a part-time LLM consultant for a short evaluation
Typical project type Full-time dedicated engineers Full-time dedicated engineers

BairesDev vs Mobilunity: 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
Mobilunity
+ Hires to your exact profile instead of matching from a fixed bench
+ One of the lower published rate bands on this list
+ Part-time consultants are available for short skill gaps
+ Long experience with the admin side of employing Ukrainian engineers for foreign clients
- Recruiting from scratch takes longer than placing an existing bench engineer
- Technical screening depth depends on your own interview process
- No dedicated AI practice; AI roles are recruited case by case

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 Mobilunity?

A typical fit: hiring one dedicated ML engineer on a tight budget.

Recruits each hire to your spec at one of the lower rate bands here. Minimum engagement starts at 1 dedicated developer. Works best with clients in SaaS, Fintech, E-commerce, Healthcare.

Decision matrix: BairesDev vs Mobilunity

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 Mobilunity (1 dedicated developer)
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 Mobilunity

Use case BairesDev fit Mobilunity fit Winner
Building a mixed team of ML, data and backend engineers on U.S. hours Strong Strong Both equally
Scaling an existing AI product team by several seats within a month Strong Limited BairesDev
Hiring one dedicated ML engineer on a tight budget Limited Strong Mobilunity
Bringing in a part-time LLM consultant for a short evaluation Limited Strong Mobilunity

Verdict: BairesDev vs Mobilunity

BairesDev (4.5/5) is the stronger overall choice for most AI Staffing projects. Largest employed LatAm engineering bench on this list.

Mobilunity (4.2/5) is worth a look if you need bringing in a part-time LLM consultant for a short evaluation. If your situation matches that, Mobilunity is a competitive option.

Related comparisons

BairesDev vs Mobilunity FAQ

Is BairesDev better than Mobilunity?

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. Mobilunity's strongest advantage: hires to your exact profile instead of matching from a fixed bench.

How do BairesDev and Mobilunity differ in pricing?

BairesDev uses monthly per engineer; dedicated teams; rates on request pricing. Mobilunity uses monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) pricing with a minimum engagement of 1 dedicated developer. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: BairesDev or Mobilunity?

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 Mobilunity?

BairesDev's primary differentiator is: largest employed LatAm engineering bench on this list. Mobilunity's primary differentiator is: recruits each hire to your spec at one of the lower rate bands here. They also differ in team size (1,001–5,000 vs ~150 on client teams), minimum engagement (Not disclosed vs 1 dedicated developer), and primary industries served (Fintech, Healthcare vs SaaS, Fintech).

Verify all details directly with each agency before making a decision.