Hire AI developers · UK

Hire AI Developers in the UK

Engineers who take LLM features from demo to production: grounded in your data, measured against real examples, guarded against data leaks and costed per request.

  • Measured against your real examples
  • PII handling designed in, not bolted on
  • You interview before anyone starts

AI expertise

AI expertise our developers bring.

People who build with large language models daily and know most of the work is data, evaluation and integration — not the prompt.

Retrieval that cites its sources

Chunking, embeddings, hybrid keyword and vector search, re-ranking and citations back to the source passage — with document permissions respected.

Agents with tool use

Multi-step workflows that call your APIs through narrowly scoped tools, with action limits, audit logs and a hand-off to a person.

Evaluation before opinion

Test sets built from real cases, automated and human scoring, and regression runs in CI, so every prompt or model change is measured before it ships.

Guardrails and PII redaction

Personal data masked before it reaches a model wherever the task allows, prompt-injection defences, output validation and content filters — all logged.

Model and vendor choice

OpenAI, Anthropic Claude, Google Gemini or open models such as Llama and Mistral, compared on your own test set for quality, cost, latency and data terms.

Cost and latency engineering

Prompt caching, smaller models for simple steps, streaming, batching and token budgets, with cost per request visible on a dashboard.

What they build

What AI developers can build for you.

The AI work UK teams bring us most — usually added to a product or process that already exists.

SaaS products

AI features in your app

Search, summaries, drafting and assistants for your own users, with usage limits per plan and a fallback when a provider is slow or down.

Support teams

Grounded help assistants

Answers drawn from your help centre, policies and order data, with citations, a confidence threshold and a clean hand-over to a human agent.

Operations teams

Document extraction

Turn invoices, claims forms and referral letters into structured data, with field-level checks and a review queue for anything uncertain.

Professional services

Internal knowledge search

Staff ask questions of contracts, precedents and past proposals in plain English, limited to the matters and folders each person can already open.

Back offices

Agentic workflows

Agents that gather information across systems and prepare the update, then wait for approval before anything is sent, paid or changed.

Teams with a stalled pilot

Prototype to production

Take a notebook or demo that impressed in a meeting and add the evaluation, security review, monitoring and cost controls it needs to go live.

Technology stack

Technology stack.

The tools that usually sit around AI in the projects we join. We fit into your stack — this is where we are most at home.

Models

OpenAI GPT modelsAnthropic ClaudeGoogle GeminiLlama and Mistral

Retrieval

Embeddingspgvector and vector databasesHybrid searchRe-ranking

Agents and tools

Function and tool callingModel Context Protocol (MCP)Structured outputsQueues and background jobs

Evaluation and observability

Evaluation setsLLM-as-judge with human reviewTracingCost and latency dashboards

Safety and privacy

PII redactionPrompt-injection defencesOutput validationAudit logs

Application layer

Python and FastAPINode.js and TypeScriptNext.js and ReactPostgreSQL and Redis

Developer seniority

The right level for the work.

Every engagement is staffed with senior engineers. What changes is how much architecture and leadership the work needs around them.

Most engagements

Senior AI developer

Takes features from ticket to reviewed, tested, deployed code without hand-holding. The right choice for most roadmap work.

New builds and rescues

Lead engineer or architect

Sets the AI architecture, reviews the team's code and plans migrations, upgrades and scaling work.

Multi-discipline scopes

A small blended pod

A AI developer with backend, QA or design support, coordinated by one delivery owner for larger scopes.

Engagement models

Ways to hire AI developers.

Pay by the hour for bursts of work, reserve a dedicated developer for your roadmap, or hand us the whole project.

Hourly AI developer

From £25 per hour

Backlog work, fixes, integrations, and flexible sprint support

  • Weekly billing, daily written updates, code review, and no long-term lock-in.

Managed AI project

Fixed quote

MVPs, rebuilds, dashboards, SaaS platforms, and business-critical launches

  • Discovery, architecture, development, QA, deployment, and post-launch support.

Prices are in GBP. Every estimate is confirmed in writing after a discovery call — the figures above are where engagements start, not a quote.

How hiring works

From brief to first commit.

The goal is not just to introduce a AI developer — it is to make the first week useful and the work visible from then on.

  1. 01

    Discovery and fit check

    We review your AI goals, current stack, deadlines, risks, and success metrics before suggesting an engagement model.

    Role and success criteria agreed

  2. 02

    Shortlist in 24 hours

    You get a clear AI developer profile, relevant experience, availability, and estimated weekly capacity.

    Developer profiles to review

  3. 03

    Kick-off within days

    We agree priorities, access, communication rhythm, delivery milestones, and code review expectations. Most engagements start within 5–7 working days of sign-off.

    Access, rituals and first tickets

  4. 04

    Ship with weekly demos

    Every week you see working AI progress, blockers, next steps, and measurable delivery against the plan.

    Visible progress every week

Why Techsleight

Why hire through Techsleight.

What you can hold us to — and what happens if something is not working.

You choose who joins

You see profiles and talk to the AI developer before anything starts, and nobody joins your team without your say-so.

Senior, production engineers

People who have shipped and supported real products — reviewed for code quality, testing habits and communication, not just a CV.

They work your way

Your repositories, tickets, stand-ups and review rules. Daily written updates and a weekly demo keep the work visible.

No lock-in

Hourly, dedicated or project-based, with short notice periods. Scale up for a launch and back down after it.

You own the code

Code, IP and documentation belong to you from day one. NDA before any detailed conversation, if you need one.

UK-focused delivery

UK business hours, GBP pricing and a contract with a UK company. Our engineers are based in the UK and India.

A whole team behind one hire

Backend, QA, DevOps and design colleagues are there when the AI work needs them — without you hiring for each role.

Relevant work

AI projects from our case studies.

Client work where AI was part of the stack. Each case study covers the brief, the approach and the result.

All case studies

FAQs

Questions we get asked.

Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.

Ask us a question

What does an AI developer do that our own developers cannot?

Your developers can call a model API in an afternoon. The harder part is making it dependable: retrieval that finds the right passage, evaluation that proves a change helped, guardrails for personal data and prompt injection, and cost control at volume. An AI engineer brings those habits, and can pair with your team so they stay after the engagement ends.

Which AI model should we use?

It depends on the task, and the answer changes often. We build a test set from your own examples, compare models from OpenAI, Anthropic, Google and the open-model families on quality, speed and cost, and keep the model behind an interface — so switching later means re-running the tests, not rewriting the feature.

How do you handle UK GDPR when personal data goes near a model?

We minimise and redact what the model sees, check the provider’s retention and training terms, use UK or EU processing where it is offered, and log what was sent. The ICO expects a DPIA for most AI that processes personal data; we supply the technical detail for yours, and sign-off stays with your DPO or legal adviser.

How do you stop AI running costs getting out of hand?

Every feature gets a cost-per-request estimate before launch and budget alerts after it. We route simple steps to smaller models, cache repeated context, cap tokens and rate-limit per user or plan, so a busy month shows up as a number you could forecast rather than a surprise invoice.

How much does it cost to hire a AI developer in the United Kingdom?

AI developer rates at Techsleight Labs start from £25/hour for flexible work and from £3,600/month for dedicated monthly capacity. Fixed-price AI projects are quoted after discovery, once scope, integrations, risks, and timeline are clear.

How quickly can a AI developer start?

Most AI engagements start within 5–7 working days of sign-off, and urgent work can sometimes start within 48–72 hours. For larger projects, we first confirm scope, architecture, milestones, and the right senior engineer fit before kickoff. We support UK teams with written updates, planned demos, and timezone-aware handover.

Can I hire one AI developer or a full team?

Yes. You can hire a single AI developer, add a small pod with QA and DevOps, or ask us to manage the complete project. We match the model to your current team, delivery pressure, and budget.

Are your AI developers senior?

Yes. Our hiring pages are built around senior production engineers, not junior bench resources. Every developer is reviewed for commercial project experience, communication quality, code quality, testing habits, and ability to work inside existing teams.

Do you work with existing AI codebases?

Yes. We often join existing AI projects to fix performance, unblock releases, add features, improve test coverage, or modernise architecture. We start with a codebase review so the first sprint is practical rather than theoretical.

What happens if the AI developer is not the right fit?

Tell us early. We will look at the cause with you — the brief, the onboarding or the match — and agree the next step together, such as more technical oversight, a different engagement model, or ending the engagement on the notice terms in your contract. The goal is a useful working relationship, not lock-in.

Hire developers

Ready to hire AI developers?

Tell us about the role — the codebase, the work and when you need someone. We will reply within one working day with next steps and suitable profiles.

  1. 1A senior engineer reads your brief within one working day, and replies with questions or a first view.
  2. 2A 30-minute call to understand the goal, constraints and what good looks like — no sales script.
  3. 3A written proposal with scope, milestones, team and a GBP estimate you can take to your board.

Techsleight Labs is a trading name of Krapton IT Consultancy.

Reply within one working day. NDA on request. Your details are used only to respond — privacy policy.