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Hire AI & ML engineers.

AI engineers who ship to production

Dedicated AI and ML engineers who have deployed agents, RAG systems and predictive models, not researchers with notebooks, engineers with pager duty.

See what they take on
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Give the developer a clear area to own.

Serious AI work is engineering: retrieval over real data, evaluation suites that catch regressions, guardrails that hold under live traffic, and cost-aware inference that survives its own bill. That is the profile we vet for.

Custom AI agents & copilots

Agents grounded in your data with tool calling, guardrails and human escalation designed in.

RAG knowledge systems

Retrieval pipelines over your documents, answers with sources, hallucination-resistant by design.

LLM app integration

Language-model features woven into existing products without disrupting what already works.

Forecasting & prediction

Demand, churn and risk models monitored in production, not parked in a notebook.

Recommendation & anomaly detection

Ranking systems and fraud/anomaly signals tied to metrics your business tracks.

Evaluation & MLOps

Test suites, drift monitoring and retraining loops so models stay honest after launch.

How the role fits your existing team

Start with one engineer or a full pod, architect, engineer and data engineer working as your team, on your roadmap, in your standups. Your data stays in your cloud; you own every model and every line from the first commit.

Discuss the depth your work needs.

  • LLM applications

    Agents, RAG pipelines, evaluation suites and guardrails that survive real traffic.

  • Predictive models

    Forecasting, recommendation and anomaly models monitored in production.

  • Data engineering

    Pipelines and feature stores that feed models reliably, versioned like code.

  • MLOps

    Deployment, drift monitoring and retraining loops so models stay honest.

Not a handoff. A working relationship.

See how a task moves between your team and the developer. Keep priorities, decisions and review responsibilities visible.

An agreed assignment

Clarify a task, its dependencies and what done means.

Starts with
Your priorities and product context
  • Acceptance criteria
  • Dependencies
  • Review owner

We plan releases with your team, follow its approval process and document each handoff.

Choose the shape, not just the headcount.

A developer, a build pod or a broader team. Compare how responsibilities can be shared before deciding what you need.

We agree team roles, responsibilities and allocation around your scope.

One dedicated developer

Add a focused role to your existing team. Keep prioritisation and product decisions with your team; agree the developer’s responsibilities and allocation.

You bring
Priorities, product context and acceptance
We discuss
The agreed development role
Work to review
Reviewable tasks within your workflow

We agree team roles, allocation, commercial terms and availability with you before work begins.

Meet the people.
Agree the work.
Then get started.

A clear starting point matters more than a rushed promise. Here’s what the hiring conversation needs to settle.

What to include in your brief
  • The role or product area that needs help
  • Your stack and current stage
  • Who will guide and review the work
  • Preferred working-hour overlap and start
  • Expected allocation and budget context
  1. 1

    Share your needs

    A 30 minute call to understand the role, stack and team fit.

  2. 2

    Meet matched engineers

    We shortlist within 48 hours; you interview whoever you want.

  3. 3

    Two week paid trial

    Work together on real tasks. Not a fit? Replace or walk away.

  4. 4

    Onboard and scale

    Same engineers long term. Add or reduce with 30 days notice.

Clear answers before you commit.

Roles, rates, working arrangements and the decisions to make before onboarding.

Typically within two weeks of your first call. Senior profiles are shared within 48 hours, and most clients interview the same week.

The first two weeks are a paid trial. If the fit is wrong, we replace the engineer or you stop, no questions asked.

Yes. Dedicated means dedicated: your engineer works exclusively on your product, in your tools and standups.

You do, from the first commit, including training code and evaluation sets.

Hiring developers, frequently asked questions

What’s missing from your team?

A specialist skill, more development capacity or a team around a product area. Tell us the work; we’ll discuss the right hiring shape.

Or talk to the team

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