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.
Hire AI developers · 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.
AI expertise
People who build with large language models daily and know most of the work is data, evaluation and integration — not the prompt.
Chunking, embeddings, hybrid keyword and vector search, re-ranking and citations back to the source passage — with document permissions respected.
Multi-step workflows that call your APIs through narrowly scoped tools, with action limits, audit logs and a hand-off to a person.
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.
Personal data masked before it reaches a model wherever the task allows, prompt-injection defences, output validation and content filters — all logged.
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.
Prompt caching, smaller models for simple steps, streaming, batching and token budgets, with cost per request visible on a dashboard.
What they build
The AI work UK teams bring us most — usually added to a product or process that already exists.
Search, summaries, drafting and assistants for your own users, with usage limits per plan and a fallback when a provider is slow or down.
Answers drawn from your help centre, policies and order data, with citations, a confidence threshold and a clean hand-over to a human agent.
Turn invoices, claims forms and referral letters into structured data, with field-level checks and a review queue for anything uncertain.
Staff ask questions of contracts, precedents and past proposals in plain English, limited to the matters and folders each person can already open.
Agents that gather information across systems and prepare the update, then wait for approval before anything is sent, paid or changed.
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
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
Retrieval
Agents and tools
Evaluation and observability
Safety and privacy
Application layer
Developer seniority
Every engagement is staffed with senior engineers. What changes is how much architecture and leadership the work needs around them.
Takes features from ticket to reviewed, tested, deployed code without hand-holding. The right choice for most roadmap work.
Sets the AI architecture, reviews the team's code and plans migrations, upgrades and scaling work.
A AI developer with backend, QA or design support, coordinated by one delivery owner for larger scopes.
Engagement models
Pay by the hour for bursts of work, reserve a dedicated developer for your roadmap, or hand us the whole project.
From £25 per hour
Backlog work, fixes, integrations, and flexible sprint support
From £3,600 per month
Ongoing delivery, product teams, and roadmap acceleration
Fixed quote
MVPs, rebuilds, dashboards, SaaS platforms, and business-critical launches
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
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.
We review your AI goals, current stack, deadlines, risks, and success metrics before suggesting an engagement model.
Role and success criteria agreed
You get a clear AI developer profile, relevant experience, availability, and estimated weekly capacity.
Developer profiles to review
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
Every week you see working AI progress, blockers, next steps, and measurable delivery against the plan.
Visible progress every week
Why Techsleight
What you can hold us to — and what happens if something is not working.
You see profiles and talk to the AI developer before anything starts, and nobody joins your team without your say-so.
People who have shipped and supported real products — reviewed for code quality, testing habits and communication, not just a CV.
Your repositories, tickets, stand-ups and review rules. Daily written updates and a weekly demo keep the work visible.
Hourly, dedicated or project-based, with short notice periods. Scale up for a launch and back down after it.
Code, IP and documentation belong to you from day one. NDA before any detailed conversation, if you need one.
UK business hours, GBP pricing and a contract with a UK company. Our engineers are based in the UK and India.
Backend, QA, DevOps and design colleagues are there when the AI work needs them — without you hiring for each role.
Relevant work
Client work where AI was part of the stack. Each case study covers the brief, the approach and the result.
All case studiesFAQs
Straight answers on scope, cost, timelines and how we work. If yours is not here, ask us directly.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
What happens next
Techsleight Labs is a trading name of Krapton IT Consultancy.
Explore