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AI engineers

Hire AI engineers who take AI features from prototype to production

Pre-vetted AI and machine learning engineers who join your team and build to your standards. Nearshore on UK hours or onshore. Daily or hourly rates, no minimum term.

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What an AI engineer does

An AI engineer builds software that uses AI models, from features powered by large language models to machine learning systems, and keeps them working reliably in production.

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On a delivery team, an AI engineer typically:

  • builds features on large language models, including retrieval over your own data
  • designs AI agents that take actions inside your workflows and tools
  • trains, tunes or integrates machine learning models
  • sets up evaluation and guardrails, so outputs are tested before and after launch
  • runs models in production, monitoring quality, latency and cost

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If you need data pipelines or statistical modelling rather than AI features, see our data engineers and data scientists. If you need engineers to deploy AI software at your clients’ sites, see our forward deployed engineers.

For an overview of the software, data and AI engineers we supply, see Software, Data & AI Engineers.

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When to bring in AI engineers

AI engineers make the difference when AI is on your roadmap and your team hasn’t built it into a product before.

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You’re adding AI features to your product
Customers expect them, and your team builds conventional software.
Your AI feature works in a demo but not reliably
It needs evaluation, guardrails and testing against real data before you can launch it.
Models need to run reliably in production
Monitoring, retraining and versioning need someone who’s done MLOps before.
You want agents to take on real work
Connecting AI to your tools and workflows safely needs careful engineering.
Model costs are growing faster than usage
Prompts, model choice and caching all need tuning, and nobody owns it.

AI engineer profiles

AI work varies with the product and the models. These are some of the profiles we supply:

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  • AI engineer. Builds features on large language models, including retrieval, prompts and evaluation.
  • Machine learning engineer. Trains, tunes and deploys machine learning models, and owns their performance.
  • MLOps engineer. Builds the pipelines, monitoring and infrastructure that keep models running in production.
  • AI agent developer. Designs agents that use your tools and data, with the guardrails to keep them safe.
  • AI tech lead. Sets AI architecture and standards, chooses models and approaches, and leads a small group of engineers.

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If you need a different mix, tell us what the work involves and we’ll match profiles to it.

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How teams use AI engineers

One AI engineer or a whole team, for as long as the work runs. You can start part-time, for example three days a week moving to five, and scale down with two weeks notice.

Where our AI engineers work from

Most work nearshore in Central and Eastern Europe on UK hours. Where a client needs people on site or in the UK, engineers can work onshore. For US work, engineers in LATAM work US hours.

The Brightbox Approach

How we provide the best on-demand skills and teams

Define your need

We capture your project goals, tech stack, delivery context, team structure and required outcomes.

AI powered matching

Our platform analyses thousands of profiles to shortlist pre-vetted talent with the right skills, experience and availability.

Human interview

Human interviews with recorded assessments validate technical depth, approach to problem solving and cultural fit.

Technical tests and challenges

We use real world tasks and scenario based assessments aligned to your environment, so you see how candidates perform.

Final client interviews

You interview and select the Brightbox Associates who best meet your needs, supported by clear evaluation data.

Onboarding

We onboard the experts or teams quickly and smoothly, aligning tools, communication channels and ways of working.

Rapid placement

Engineers are deployed within days, not months, so your projects and products keep moving.

Continuous alignment

We run regular performance reviews and check-ins to ensure quality, fit and speed throughout the engagement.

How it works

When you hire AI engineers through Brightbox, they join your team as associates. They work under your brand and your direction, and we handle the rest.

Daily or hourly rates

Time and materials, billed on time you’ve signed off.

One person or a team

No minimum headcount.

No minimum term

Two weeks notice to scale down, either way.

Deployed in days

Not the months a permanent hire takes.

Replacement cover

If someone isn’t the right fit, we replace them and carry our cost during the handover.

You own the IP

Everything they build is yours.

Governance

A management layer around every engagement, so you’re not the one carrying a bad fit.

Your clients stay yours

Our people work under your brand, and we never approach your clients.

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Why choose Brightbox

The Brightbox advantage

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Instant access to global talent

Profiles against your brief, usually within a day.

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AI-driven precision

We’re investing in technology to keep improving how quickly and accurately we match people to your brief.

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03
Outcome first delivery

Each engagement starts from what you need running, and by when.

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04
Flexible engagement models

One AI engineer or a whole team, scaled up or down with two weeks notice.

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Trusted by leading organisations

Product companies, consultancies and systems integrators use Brightbox to add delivery capacity when the work lands.

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FAQs
AI engineers
How much does it cost to hire an AI engineer through Brightbox?

AI engineers are on daily or hourly rates, which depend on seniority, specialism and where they work from. Ask and we’ll send a rate card, usually within hours.

How quickly can an AI engineer start?

Usually within days, rather than the months a permanent hire takes.

AI engineer, machine learning engineer or data scientist: which do I need?

An AI engineer builds product features on existing models, often large language models. A machine learning engineer trains and deploys models of your own. A data scientist analyses data and builds statistical models to answer business questions. If you’re not sure, tell us what you’re building and we’ll suggest the right profile.

Do your AI engineers work with our models and platforms?

Tell us the models, platforms and frameworks you use, whether hosted or open-source, and we’ll match engineers with experience in them.

Can they take our AI proof of concept into production?

Yes. That’s a common reason teams bring in AI engineers: adding evaluation, guardrails, monitoring and the engineering needed to run a feature reliably.

How do you vet AI engineers?

They go through the same process as all our associates, including a recorded interview to test technical depth and real-world technical tasks matched to your environment. You then interview the people we put forward.

Can you deliver an AI project for us?

Not as a project we run on our own. We supply AI engineers who join your team and work under your direction, so you keep control of the work and the results. If you need someone to own an AI project from start to finish, we can introduce a proven delivery partner from our network who takes on that responsibility.

Can an AI engineer work remotely?

Yes. Most work remotely, nearshore in Central and Eastern Europe on UK hours, so they’re online when your team is. Where a client needs people on site, engineers can work onshore.

Can we hire AI engineers for just a few months?

Yes. There’s no minimum term, and you can scale down with two weeks notice. Engagements shorter than about six weeks rarely work, because onboarding takes too much of the time.

Who owns the models and code?

You do. Everything they build, including code, prompts and models trained for you, is yours.

How do you handle IR35?

We’ve worked both inside and outside IR35, and we work with a partner to help with status determinations when needed.

Need AI engineers on your team?

Send us a short brief. We’ll come back with profiles and rates, usually within a day.