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Hire AI Developers · United Kingdom Bring AI expertise into the build.

Hire AI developers for UK projects involving LLM applications, retrieval, assistants and workflow automation. Define the use case, data access and evaluation plan.

UK-registered company. International engineering team.

A developer who understands the work.

For teams moving from an AI experiment to a product that needs dependable behaviour. Add engineers who can connect model capabilities to your application, data sources and user workflows.

  • LLM and model integration
  • Retrieval pipelines and knowledge search
  • Evaluation, observability and human review

Capacity that joins your team.

  • Part of your team

    Stand-ups, repositories, code review and tools: the developer works the way your team works.

  • Agreed overlap

    Working-hours overlap with the UK set before the engagement starts, with written updates covering the rest.

  • Backed by the wider team

    Senior review and specialist colleagues in AI, DevOps, design and QA when a task needs them.

  • Flexible by the month

    Scale the engagement up or down as the roadmap changes, with a documented handover whenever you need it.

From role brief to productive collaboration.

Evaluate candidates on how they measure answer quality, handle missing evidence and limit an agent’s permissions. A convincing demo is only the beginning.

  • A use-case and data-readiness assessment
  • A baseline evaluation set and integration plan
  • Testable increments with latency and cost visibility

Clear responsibilities. Visible progress.

Agree the skills, time commitment, responsibilities and review cadence. Developers join your agreed tools and workflow; you retain visibility through demos, pull requests and progress discussions.

The commercial basis

Contracts are with Krapton IT Consultancy Ltd, a UK-registered company, under the law of England and Wales. Our engineering team is international and works remotely.

Rates, availability, working-hours overlap and contractual terms are confirmed for your specific engagement and quoted monthly in GBP.

Hiring AI developers: what UK teams ask.

How do I hire AI developers through Krapton?

Send a role brief or talk to us about the work. We propose developers with the right skills and seniority, you meet them and set a practical exercise if you wish, and once the fit is agreed they join your repositories and tools with an agreed working-hours overlap and a monthly quote in GBP.

Where are your AI developers based?

Developers are part of Krapton’s international engineering team, headquartered in New Delhi, and work remotely with UK clients. “For UK projects” describes the market we serve, not a promise that every developer is physically based in the UK.

How quickly can a developer start?

It depends on the skills and seniority you need and on availability at the time. We confirm a realistic start date once we understand the requirement, and we do not commit before the right developer is available.

Can a developer work inside our existing team and tools?

Yes. Developers join your stand-ups, code review, project management and communication tools, with responsibilities and reporting agreed before they start.

What are the contract terms?

A business-to-business services contract with Krapton IT Consultancy Ltd, a UK-registered company, governed by the law of England and Wales, with monthly invoicing and flexible renewal. NDAs and data processing agreements are signed before access is granted.

How do you keep our data safe when building AI features?

We start from the data the feature actually needs, keep it in your cloud accounts, use model providers’ API terms that exclude training on your data where they offer them, and log what is sent to a model. For personal data we apply UK GDPR principles such as data minimisation and sign a data processing agreement first.

Do we need to train our own AI model?

Usually not. Most business use cases are met by a hosted model connected to your own data through retrieval, with prompts and tools designed around the task. Fine-tuning or a self-hosted model makes sense for narrow, high-volume tasks or strict data-residency requirements.

How do you know an AI feature is good enough to launch?

We agree an evaluation set of real questions and expected answers before building, measure the feature against it after every change, and add human review where an answer carries risk. It launches when it meets the agreed quality bar, not when the demo looks convincing.

Let’s shape the role you need.

Tell us what you want to improve. We’ll help you shape the right scope, team and starting point.

What are you thinking?