Dedicated AI engineers for your offshore team.
Offshore AI engineers in Chiang Mai and Bangkok, working full time on your roadmap and managed by us. An AI engineer builds model-backed features into software that already has users, and keeps them reliable in production.
One agreement and one fixed monthly fee, with a service delivery manager in Thailand who runs your team day to day.
This role is part of a dedicated AI engineering team. It's staff augmentation, fully managed: take one role on its own, or the whole discipline as one delivery team.
One AI Engineer, assigned to your product and fully managed.
We assign an AI Engineer to your team full time and run everything around them: a service delivery manager who answers for the work, training and coaching, the office and equipment, and HR and payroll. The price below is for a mid-level AI Engineer; junior and senior levels are priced in your proposal, and how the monthly fee is built explains the arithmetic.
From price
One mid-level AI Engineer, full time, everything below included. All 27 things included ››
- AI engineer From USD 4,200 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
What an AI Engineer does on a managed AI engineering team.
They work in your codebase with your product and engineering team, ship AI features behind flags and report on cost, latency and quality every week.
AI Engineer skills and technologies
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Integrating language models into existing products, with retrieval, structured output and tool use.
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Building evaluation sets so a prompt change can be measured rather than guessed at.
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Monitoring cost, latency and output quality after launch, where most AI projects quietly degrade.
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Building the fallback path for when a model provider is slow or unavailable, so the product keeps working in a reduced form.
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Red-teaming prompts against injection and jailbreak attempts before a feature reaches users.
AI Engineer seniority levels.
Mid-level to senior. Production AI work rewards engineers who have shipped and run AI features before. Seniority is one of the inputs into how the monthly fee is built.
When your team needs an AI Engineer.
The most common AI role, working on products already in production. Often paired with an LLM or NLP engineer. AI engineers join as part of a dedicated AI team.
What we look for in a dedicated AI Engineer.
We look for AI engineers who measure before they tune. They should build an evaluation set before changing a prompt, understand retrieval as well as generation, and plan the fallback for when a model provider is slow.
Your remote AI Engineer's first three months.
- Weeks 1 to 2Reviewing the use case, data and any existing AI features, and building a first evaluation set.
- Weeks 3 to 6Shipping the first model-backed feature behind a flag, with cost and quality monitored.
- Months 2 to 3Owning the feature in production, improving quality against the evaluation set.
Questions about adding an AI Engineer to your team.
Can you work with our existing AI feature?
Yes, and most of our AI work is exactly that: adding evaluation and monitoring to something already live.
Which model provider do you recommend?
Whichever fits your constraints. Everything is built so switching provider later is straightforward.
Add remote AI engineers to your team.
Tell us your roadmap and your stack, and we'll come back with the right profile, the capacity and a start date. You can also talk to a service delivery manager first.
Add AI engineers to your remote team.
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