Azumo
San Francisco nearshore company placing Latin American AI engineers inside U.S. product teams
What is Azumo?
Azumo was founded in San Francisco in 2016 by former investment banker Chike Agbai, whose first client was Twitter. Its engineers are based in more than 20 Latin American countries and work U.S. hours. The company sells three formats: staff augmentation alongside an existing team, dedicated teams, and project delivery, and its recent hiring is weighted toward generative-AI, agent and forward-deployed engineering roles. Headcount estimates range from about 80 to just over 100 depending on the source.
Azumo works primarily with clients in SaaS, Fintech, Healthcare, Media sectors. Its primary differentiator is: Nearshore staffing with a hiring focus on GenAI and agent roles.
Azumo tech stack and services
| Service area |
|---|
| LLM Engineers |
| AI Agent Developers |
| RAG & GenAI |
| Dedicated Teams |
| Nearshore LatAm |
Azumo pricing
Short answer: Azumo uses a monthly per engineer; dedicated team; project-based; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | Variable; depends on team size | Large programmes or team augmentation |
Azumo pros and cons
| Advantages | Things to consider |
|---|---|
| +Hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers | -Headcount is modest, so very large teams may take longer to assemble |
| +No long-term commitment required for augmentation seats | -Public detail on how candidates are technically screened is thin |
| +U.S. time zones and a U.S.-based management team | -No published rates |
| +Small enough that founders and senior staff stay involved in client accounts |
Azumo vs alternatives
How Azumo compares to the other top AI Staffing agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Product teams adding AI engineers fast, two-week trial. | Engineer-led screening with a free replacement if a hire doesn't fit | 4.8 | Full comparison |
| deepsense.ai | Research-heavy ML problems, senior data scientists. | Research-grade data scientists available as embedded team members | 4.6 | Full comparison |
| BairesDev | U.S. companies needing several engineers in American time... | Largest employed LatAm engineering bench on this list | 4.5 | Full comparison |
| InData Labs | Data-science-heavy teams, AWS-based ML work. | Data scientists and data engineers from one AI-only company | 4.4 | Full comparison |
| MobiDev | Retail and fitness products, one AI engineer to... | Long AI product record in retail, hospitality and fitness | 4.4 | Full comparison |
| Uvik Software | Python-heavy AI products, quick shortlist. | Python-only bench with published entry-level rates | 4.4 | Full comparison |
| N-iX | Enterprises scaling data and ML teams in Europe. | Formal staff-augmentation model backed by a 2,400-person bench | 4.3 | Full comparison |
| BEON.tech | U.S. scale-ups hiring long-term LatAm AI engineers. | Senior-only LatAm placements with AWS Bedrock experience | 4.3 | Full comparison |
| Xenoss | Ad-tech and high-volume data teams. | Data engineers with ad-tech throughput experience | 4.3 | Full comparison |
| Svitla Systems | Companies wanting both Mexican and Polish delivery options. | Two decades of team augmentation across LatAm and Europe | 4.3 | Full comparison |
| Mobilunity | Budget-conscious teams hiring a dedicated AI developer. | Recruits each hire to your spec at one of the lower rate bands here | 4.2 | Full comparison |
| Vention | Startups and scale-ups wanting CVs within two days. | Fast CV turnaround with a free delivery manager | 4.2 | Full comparison |
| Neoteric | Product teams adding GenAI to an existing app. | Product-minded GenAI engineers with a low published minimum | 4.2 | Full comparison |
| STX Next | Python product teams adding ML capacity. | Large Python bench with documented ML staff-augmentation work | 4.2 | Full comparison |
| 10Clouds | Banks, insurers and fintechs building AI features. | Financial-services AI focus with Claude partner status | 4.1 | Full comparison |
| Howdy.com | Teams that want transparent nearshore pricing. | Published 15% fee on top of the engineer's pay | 4.1 | Full comparison |
| Toptal | Short engagements with a senior freelance specialist. | Fast access to screened freelancers with a no-risk trial | 4.1 | Full comparison |
| Turing | Companies wanting LLM-savvy contractors from a large pool. | Talent cloud tied to frontier-lab LLM training work | 4.1 | Full comparison |
| Simform | Azure-based companies wanting a lower-cost dedicated AI team. | Azure-centered AI engineering at India delivery rates | 4.1 | Full comparison |
| Innowise | Enterprises needing many seats filled within days. | Claimed three-to-five-day placement from an employed bench | 4.1 | Full comparison |
| X-Team | Media and gaming teams adding long-term remote developers. | Developer-community model aimed at long placements | 4.0 | Full comparison |
| Netguru | Consumer brands adding AI to digital products. | Design and product talent alongside AI engineers | 4.0 | Full comparison |
| Intellias | Automotive and mobility companies, embedded AI. | Physical-AI and automotive engineering depth | 4.0 | Full comparison |
| ScienceSoft | Regulated industries hiring experienced data scientists. | Senior data scientists with a published hiring timeline | 4.0 | Full comparison |
| Andela | Distributed teams hiring vetted contractors worldwide. | Assessment tooling strengthened by the 2026 Woven acquisition | 4.0 | Full comparison |
| DataArt | Financial and travel firms needing long-lived dedicated teams. | Dedicated development centers with nearly 30 years of history | 4.0 | Full comparison |
| KORE1 | U.S. companies that want to hire AI engineers... | Direct-hire and contract-to-hire paths for AI roles | 3.9 | Full comparison |
| Revelo | Companies hiring LatAm developers without a local entity. | Payroll and compliance handled for LatAm hires | 3.9 | Full comparison |
| EPAM Systems | Global enterprises with large, compliance-heavy AI programs. | Scale, compliance maturity and vendor certifications | 3.9 | Full comparison |
| Globant | Enterprises open to outcome-priced AI delivery. | Token-subscription pricing in place of seat-based staffing | 3.9 | Full comparison |
| Itransition | Microsoft-stack enterprises adding AI to Dynamics or Power... | AI work tied to the Microsoft business-application stack | 3.9 | Full comparison |
| LeewayHertz | Companies already using The Hackett Group or ZBrain. | GenAI developers tied to the ZBrain platform | 3.8 | Full comparison |
Azumo FAQ
What is Azumo?
San Francisco nearshore company placing Latin American AI engineers inside U.S. product teams
How much does Azumo charge?
Azumo uses monthly per engineer; dedicated team; project-based; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does Azumo use?
Azumo works with OpenAI, LangChain, Hugging Face, Python, AWS, Azure ML. Primary industries served include SaaS, Fintech, Healthcare, Media.
Is Azumo right for enterprise?
Startups adding GenAI engineers on U.S. hours. 100–249 team size. Key consideration: Headcount is modest, so very large teams may take longer to assemble.
What are the best Azumo alternatives?
The best alternatives to Azumo depend on your use case. Top options are:
- Tensorway: engineer-led screening with a free replacement if a hire doesn't fit
- deepsense.ai: research-grade data scientists available as embedded team members
- BairesDev: largest employed latam engineering bench on this list
Compare Azumo with other AI Staffing agencies
Verify all details directly with Azumo before making a decision.