Dedicated AI engineering team.
AI and LLM engineers who build features into your software, headhunted for your product and assigned to you full time. You set the priorities. We employ, train and run the team from our own offices in Thailand.
What you get and what you pay.
With offshore staffing or staff augmentation, the provider finds a developer and the managing is left to you. We do it as a full service. The AI engineers are ours: we employ them, assign them to you full time, give them an office and equipment, train and coach them, and run delivery with you every week.
Price examples
Mid-level, full time, everything below included. Junior and senior levels are priced in your proposal. All 27 things included ››
- AI engineer From USD 4,200 per month
- LLM engineer From USD 4,200 per month
- NLP engineer From USD 4,300 per month
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Service
We manage and develop the team
- A service delivery manager who runs the team and answers for delivery
- A 1:1 with our Head of Delivery every two weeks
- Weekly delivery scoring and monthly capacity reports
- A Talent Success Manager for every specialist
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HR
We are the employer
- Recruitment and technical assessment
- Employment contracts
- Salary and payroll
- Tax and social security
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Facilitation
We provide the workplace
- A desk in our own office in Chiang Mai or Bangkok
- A Workplace Experience Manager on site
- Team events through the year
- IT support
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Equipment
We supply the tools
- Laptop and hardware
- Software licences
- LinkedIn Learning access
- Device security and management
One monthly fee. Everything around the AI engineer is in it.
You agree a monthly capacity in hours with us. The fee covers the AI engineer's salary and every layer around it: the service delivery manager who runs the team, training and development, the workplace, the equipment and the HR behind the employment. It is the same amount every month.
- One agreement and one invoice, with no setup fee or management surcharge
- Holidays are already priced in, so April and May cost the same
- Capacity moves up or down at the next monthly cycle
Tailored teams down to every detail.
We make sure your team is 100% tailored to your needs and expectations. We headhunt AI engineers when needed, so we deliver high-performing teams.
- Roles and seniority
- Stack and domain
- Way of working
- Capacity and start date
Talk to our teamBook a scoping call - 25 Week 1 Sourcing Headhunted for your brief
- 12 Week 2 AI processing and screening Matched to your stack
- 5 Week 3 Technical testing Pass technical testing
- 1 Week 4 Mindset, culture and logic Proposed to you
Any role your roadmap needs.
These four are the AI engineering roles with their own pages. Beyond them we assign specialists across ten disciplines, on the same agreement and with the same service delivery manager.
Try us, at zero risk.
- No deposit
- No upfront fee
- No commitment
We agree a time to hire with you. If we can't find the right people for your team within it, you walk away with no commitment and nothing to pay.
Get in touch"We don't hand you an AI engineer and step back. We build the team around your product, and we stay in it every week."
Mikkel Schmidt, CEO and founder
Questions about a dedicated AI engineering team.
What's the difference between AI outsourcing and an AI development partner?
Accountability after launch. A typical AI outsourcing project delivers a feature and ends. A development partner stays with the product, which matters because AI features need ongoing care in ways traditional software doesn't.
Who manages the AI developers?
We do. It works like staff augmentation, with the management included: our AI developers are assigned to your product full time, and we employ, train and manage them. You set the priorities and review what ships.
Do you build AI products from scratch?
Sometimes. We do our best work adding AI to software that already has users, revenue and real constraints.
Can remote AI engineers work with our existing team?
Yes, that's the usual setup. Our AI engineers work in your repositories and your sprints, alongside your own developers.
How do you handle data privacy?
We agree it before any work starts. Where data can't leave your infrastructure, the team works entirely inside it, with open-weight models if needed.
Are your specialists AI trained?
Yes. Every specialist completes AI certification through our Talent Success and Academy programme before joining a client team, whatever their discipline.
What gets an AI feature from prototype to production?
A convincing demo is the easy part. What gets a feature into production is evaluation, retrieval quality, cost per request and handling the inputs you didn't expect.
LLM engineer or computer vision engineer?
The team follows the problem. Retrieval, evaluation and prompt behaviour sit with an LLM engineer. When the input is images or video, a computer vision engineer joins the team.
Which model providers do you work with?
Your team works with the model providers you already have contracts with, inside your own accounts. We'll recommend the right model for each job, and sometimes the best answer is a simpler approach without one.
Do AI engineers work with a data team?
Most AI features are limited by the data behind them, so AI engineers often work alongside a managed data team on one committed monthly capacity.
Build the whole team around your AI engineers.
Most partners add a second discipline within the first year. It joins the same agreement, the same sprints and the same service delivery manager.
Your AI engineers Ai engineer, llm engineer, nlp engineer, computer vision engineer. The core of the team. On the team 
Data science Analysis, models and evaluation Add to the team → 
AI automation engineering Agent workflows and internal automation Add to the team → 
MLOps engineering Deploying and monitoring models in production Add to the team → 
Data engineering Pipelines, warehouses and reporting models Add to the team → Tell us what AI engineering capacity your roadmap needs.
Thirty minutes with a service delivery manager. You leave with a clear picture of the team you would need, what it would deliver and when it could start.
- No deposit and no upfront fee
- No commitment until the right people are on your team
- If we can't find them inside the agreed window, you walk away at no cost
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