Hire offshore AI developers to connect LLM APIs, build AI features, and automate product workflows.
One full-time AI developer assigned to your workflow. No shared resources.
Experienced with OpenAI, Anthropic, LangChain, LlamaIndex, and vector DBs.
Developers matched to your sprint cadence, release cycles, and collaboration hours.
role overview
Outsourcing AI development is most effective when your engineering team has defined LLM product work but lacks the internal capacity or dedicated build ownership to move it forward.
AI feature requests can sit behind core product work when engineering teams are focused on roadmap delivery. A dedicated AI developer owns LLM API integration, prompt logic, and output handling.
Internal AI tests may work in a demo environment but remain disconnected from the product experience. Hire an AI developer when prototypes need user flows, API handling, and response logic before release.
Document search, summarization, and knowledge workflows require defined retrieval logic, not a single model call. An AI developer builds RAG workflows with embeddings, vector databases, and structured outputs.
Support, sales, operations, and admin teams may request AI automation without a defined build owner. Hire AI developers to connect LLMs to internal systems and structure repeatable automation flows.
Local markets may have limited LLM API, prompt logic, and RAG experience. Global sourcing expands access to AI developers with application-layer AI skills.
LLM features are frequently deprioritized when engineering teams are focused on core roadmap delivery. Global hiring adds AI developer coverage for defined LLM features and workflow builds.
Remote AI developers are matched to sprint cadence, release timelines, and collaboration hours tied to your product engineering cycles.
Global hiring adds AI developer capacity without permanent local headcount. Global hiring adds dedicated AI developer capacity without permanent local headcount costs.
See how much you can save by hiring remote AI developers from cost-effective regions.
$15,000/month
Average US Salary
$4,000/month*
India Average Salary
73%
Potential savings
$4,500/month*
Average LATAM Salary
70%
Potential savings
VS
| Local US Hire | India | LATAM | |
|---|---|---|---|
| Annual Base Salary | $180,000 | $48,000 | $54,000 |
| Payroll Taxes (7.65%-10%) | $18,000 | $0 | $0 |
| Benefits (20%-30%) | $36,000 | $0 | $0 |
| PTO (5%-10%) | $9,000 | $0 | $0 |
| Total Cost | $234,000 | $48,000 (excluding service fees) | $54,000 (excluding service fees) |
| Savings | - | $186,000 | $180,000 |
* Salaries shown are based on publicly available data (Indeed, Glassdoor, etc.), showing average rates by role and location. Offshore rates do not include outsourcing provider fees. Please schedule a consultation to receive detailed information tailored to your needs.
Regional Skills:
Argentina has AI development expertise in LLM API integration, RAG workflows, AI feature builds, and workflow automation. Shared working hours support sprint participation with U.S.-based product and engineering teams.
Best For:
Businesses hiring nearshore AI developers for product sprints, LLM application work, and workflow automation that requires real-time collaboration.
Average Salaries:
$2,000 – $2,400 per month
Regional Skills:
Best For:
Average Salaries:
$2,500 – $5,000 per month
Regional Skills:
Best For:
Average Salaries:
$1,500 – $4,000 per month
Regional Skills:
Best For:
Average Salaries:
$2,500 – $5,500 per month
Regional Skills:
Polish AI developers have experience in cloud-based systems, enterprise software environments, LLM-powered product builds, vector database workflows, and application architecture. This region supports European collaboration hours and complex software environments.
Best For:
Average Salaries:
$3,000 – $5,500 per month
Regional Skills:
Best For:
Average Salaries:
$8,000 – $15,000 per month
See how we compare to traditional AI developer staffing agencies and freelance options.
 | Freelance Marketplaces | Traditional Staffing Agencies | |
|---|---|---|---|
Engagement Structure | Full-time, dedicated role | Hourly or project-based | Permanent hire or temp placement |
Role Ownership | Client-managed, embedded in your team | Independent contractor | Client-managed after placement |
Vetting & Screening | Multi-stage vetting + English validation | Self-reported profiles | Resume screening + interviews |
Industry & CRM Alignment | Matched by role, industry, and tools | Varies by individual | General experience matching |
Commitment & Stability | Long-term role continuity | Often juggling multiple clients | Depends on employee retention |
Upfront Fees | None | None | 15–30% placement fee typical |
Replacement Support | No-cost replacement guarantee | You must rehire yourself | Often additional fees apply |
Cost Efficiency | Up to 73% lower than U.S. hiring | Variable hourly rates | High salary + agency fees |
Global Talent Access | Nearshore & offshore sourcing | Global, unstructured | Primarily local markets |
Scalability | Build one role or entire team | Difficult to standardize | Slower hiring cycles |
We begin with a discovery call to map your AI features, model APIs, prompt workflows, RAG requirements, and internal systems tied to the role. These criteria guide sourcing for AI developers aligned to your application-layer AI work.
Within 3 to 5 days, we provide a shortlist of vetted candidates matched to your tools, build scope, and collaboration hours. You interview the candidates and select the developer aligned with your LLM build scope.
Once selected, we manage onboarding, contracts, payroll, and compliance. Your AI developer starts inside your engineering workflow within two weeks to support LLM APIs, prompt logic, RAG builds, or workflow automation.
We source, vet, and present candidates before you pay.
Meet and approve candidates before they join your team.
If a hire doesn’t work out, we replace them at no cost.
We manage international payroll and employment compliance.
Top-rated by Clutch
We’re proud to be named by Clutch as a trusted leader in outsourcing.
AI developers work at the application layer. They connect model APIs, build LLM-powered features, structure prompt workflows, implement RAG, and connect AI outputs to products or internal systems. ML engineers work on model training, data preparation, evaluation, and MLOps infrastructure.
Yes. Your AI developer works inside your current engineering stack and product workflow. Common tools include OpenAI, Anthropic, LangChain, LlamaIndex, Pinecone, Weaviate, Hugging Face inference, GitHub, and internal APIs.
No. Each AI developer is full-time and dedicated to one client. They are not shared across multiple accounts, assigned part-time, or rotated across unrelated projects.
Yes. Working hours are defined during scoping and factored into candidate matching. We can source nearshore or offshore AI developers aligned to U.S. hours, regional schedules, sprint rituals, and release cycles.
Offshore AI developers can cost up to 73% less than comparable U.S.-based roles. Pricing depends on location, seniority, working hours, and experience with LLM APIs, RAG workflows, vector databases, and AI product builds.
If a replacement is needed, we manage the replacement process at no additional cost. The new AI developer is matched to the same role scope, tools, working hours, and application-layer AI requirements.
AI developer profiles are typically delivered within 3 to 5 days. Most clients complete interviews, selection, onboarding, and role start within two weeks. Timelines may extend depending on interview schedules, seniority level, tool requirements, or working hours.
What Our Clients Are Saying
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
HR Manager, Tech Company
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
HR Manager, Tech Company
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
HR Manager, Tech Company
Undisclosed
CEO, Startup Incubator
Andrew C
VP Finance, Bluestone Lane
Mike M
Owner, Carve Financial
Danielle R
VP of Client Services, Pentius
Casey H
Manger Of Training, Homelight
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
HR Manager, Tech Company
