AI Engineering & Talent
Dedicated AI Teams
A long-term engineering team built around your stack, your standards and your delivery model. Your roadmap, your review process, our people, with the continuity that makes a system maintainable.
The business problem
Projects end and the knowledge leaves with them
Project-based delivery optimises for a defined outcome and then disperses the people who understand it. For anything that has to evolve, that is the wrong shape: the second phase costs more than the first because it starts by rebuilding understanding somebody already had.
What we do
Build the team around your delivery, not ours
We assemble a team against the roles you need, you interview and approve every member, and they work in your tools, your process and your review cycle, reporting to your lead. Capacity flexes as the roadmap changes without renegotiating everything. Knowledge is documented rather than held in one person, which is what makes the arrangement durable rather than dependent.
Dedicated AI Teams
Capabilities
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AI Engineers
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ML Engineers
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Data Scientists
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AI Architects
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MLOps Engineers
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LLM Engineers
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DevOps Engineers
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QA Engineers
Common use cases
Common use cases
- Build and evolve an AI platform over years rather than in a single project.
- Add capability your local market cannot hire fast enough.
- Keep continuity on a system that has to keep changing.
- Scale a team up or down as a programme's shape changes.
How we deliver
How we deliver
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Scope
Agree the role, the stack, the seniority and how success will be judged.
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Select
You interview. Nobody joins the team without your agreement.
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Embed
They work in your tools, your process and your review cycle, reporting to your lead.
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Sustain
Capacity flexes with the roadmap; knowledge stays documented rather than in one head.
Technology
Technology
- TypeScript
- Python
- Go
- React
- Node.js
- Kubernetes
- GitHub Actions
- Terraform
Security & governance
Security & governance
Engineers work under your access model and your code of conduct, on your infrastructure, with the same review and approval gates as your own staff. Intellectual property in the work is yours. Where AI coding assistance is used, it passes through the same review as anything else, and the provenance of generated code is recorded.
Engagement models
Engagement models
Forward-Deployed AI Team
A cross-functional AI team works inside your organization to continuously find and deliver opportunities.
Dedicated AI Team
Long-term dedicated engineering capacity built around your stack and delivery model.
Managed AI
We operate, monitor and continuously improve production AI systems.
Why TeamExtension.ai
This is the original business
Building and operating engineering teams for international organizations is what Team Extension has done since 2008. The AI capability is newer; the ability to assemble a team that stays, integrates and delivers is not.
Selected clients
Frequently asked questions
Frequently asked questions
Do we choose the team?
How quickly can a team start?
Where do people work?
What about intellectual property?
Can the team change shape over time?
Related capabilities
Related capabilities
AI Engineering & Talent
Forward-Deployed AI Engineering
Senior AI engineers embedded alongside your teams to find opportunities and put them into production.
Learn moreAI Engineering & Talent
AI Software Engineering
Coding agents, automated testing and AI-assisted delivery applied inside a real review process.
Learn moreAI Infrastructure & LLMOps
Managed AI Services
We operate, monitor and continuously improve the AI systems already carrying your production load.
Learn moreDiscuss Your AI Initiative
Long-term AI engineering capacity built around your stack, your standards and your delivery model.