AI/ML STAFF AUGMENTATION
Build your AI product with a dedicated Eastern European engineer who works in your tools, joins your standups and ships alongside your team.
Production machine learning, LLMs, RAG and computer vision. You interview and choose the engineer. We handle the matching and ongoing support.
2-week risk-free trial. See the conditions.
4.8
★★★★★
Client rating on Clutch ↗
Trusted by growth-stage companies
CLIENT EXPERIENCES
Keep the people, working relationships and engineering quality at the center of the hire.
"We started seeing strong engineer profiles from Odesa within days, and the process from tech interview to onboarding was smooth and straightforward. The remote team Val built for us now feels like part of our in-house team and has contributed to multiple product rollouts over the past year."
"We were impressed with their cost, speed, and having a US-based interface."
The onboarded developers were able to help us develop and launch a specific feature quickly and under budget. Clear communication, very responsive, and a solid team.
"Odesa.co's communication and delivery speed are very good."
Overall, we’ve had a good experience with Odesa. They embedded a software developer in one of our teams, who has performed quite well from very first day.
PRODUCTION AI/ML EXPERTISE
Match the engineer to your product, architecture and delivery stage.
Connect your data to language models. Build retrieval, fine-tuning and evaluation into a useful product.
OpenAI · Anthropic · Hugging Face · LangChain
Build agents and tool-use architectures that fit the systems your team already uses.
LlamaIndex · APIs · Tool use · Python
Take a model beyond the notebook with reliable pipelines, deployment and real-time predictions.
PyTorch · TensorFlow · scikit-learn · XGBoost
Manage model versions, serving and retraining so your AI systems can keep improving.
MLflow · SageMaker · Vertex AI · Kubernetes
Build object detection, segmentation, OCR and video-analysis pipelines around your use case.
OpenCV · YOLO · Detectron2 · CUDA
Connect data pipelines, feature stores and vector databases to the models that depend on them.
Airflow · Spark · SQL · Vector databases
Need a related specialty? Explore Python, DevOps or the full engineering network.
Tell us what you’re building →
PRE-VETTED. STILL YOUR CHOICE.
Our network accepts 4% of applicants. You meet a focused shortlist and make the final hiring decision.
Screening for production ML experience, research depth and the technologies your role requires.
English communication and working-style fit with US teams. Confirm the overlap your team needs.
Assess the shortlist against your own standards before choosing who joins your team.
HOW IT WORKS
Average AI/ML placement: 5 days from brief to onboarding. Your requirements and interview schedule affect timing.
Tell us the work, stack, seniority and timeline. A few useful details are enough to start.
Receive 2–3 pre-vetted profiles within 48 hours of receiving your requirements.
Meet the engineers, assess technical fit and select the person you want on your team.
Agree the engagement and trial terms, then onboard the engineer into your workflow.
A DEDICATED ENGINEER. CLEAR TERMS.
One primary engagement: an AI/ML engineer working as part of your team, with Odesa handling the employment and concierge support.
If the engineer does not meet expectations, you pay nothing and we provide a replacement immediately.
Staff augmentation only. Agree expectations and written trial terms before work begins.
Prefer to hire directly?
Flat-fee recruitment is $7,999 per hire, with a 90-day performance guarantee. Explore recruitment ↗
From $45/hr
Your rate depends on seniority, specialization and scope.
✓ Dedicated engineer joins your team
✓ Salary, benefits and equipment included
✓ Ongoing concierge management
✓ Flexible month-to-month engagement
✓ Scale your team up or down
✓ US contracts and US payments
Review candidates before choosing your engineer.
BEFORE YOU HIRE
Not sure which AI/ML specialty you need? Start with the work you want done.
Discuss the role →AI/ML staff augmentation starts at $45 per hour, including salary, benefits, equipment and concierge service. Your rate depends on the engineer’s seniority and specialization. Direct recruitment is a separate $7,999-per-hire service.
We present 2–3 pre-vetted candidates within 48 hours of receiving your requirements. Average AI/ML placement is 5 days from initial brief to onboarding.
Yes. Dedicated engineers integrate into your team, attend standups, follow your coding standards and work in your tools. You direct their day-to-day work.
Yes. The network covers production experience with OpenAI, Anthropic and open-source LLMs, including RAG systems, AI agents and fine-tuned models. We match experience to your actual use case.
Our engineers are based in Eastern Europe. Confirm the working hours and overlap you need during matching, then meet the engineer and assess communication before you decide.
Staff augmentation includes a 2-week risk-free trial. If the engineer does not meet expectations, you pay nothing and we provide a replacement immediately. Agree the trial expectations and written terms before work begins. Direct recruitment has a separate 90-day performance guarantee.
Discuss your IP, confidentiality and access requirements before onboarding and record the agreed terms in the engagement documents. Your team controls access to its tools and systems.
The Odesa team reviews your brief, clarifies the role and starts matching engineers to your requirements.
LET’S TALK ABOUT YOUR NEXT HIRE
Start with the work and your team. We’ll help you define the right fit.
US-based tech talent concierge.
Lighthouse Point, Florida.
A dedicated engineer working as part of your team.