Dedicated AI Development

Hire a Dedicated AI Developer

Most AI projects don't fail on the model — they fail on everything around it. A demo that dazzles in a notebook and falls over the moment real users, real data and real edge cases arrive isn't a product. Shipping AI that survives production is an engineering discipline, not a prompt.

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At Codified Studio, you're not renting a freelance AI engineer who hands back a proof of concept and disappears. When you hire AI developers with us, you get engineers from our own in-house team who build the whole path — retrieval, evaluation, guardrails, monitoring and cost control — one point of contact, from first spike to the version your customers actually use.

We engineer complexity into results
2+
Years Building Products
9+
Production Apps Shipped
4
Countries Served
3–5 Days
To Match a Developer
55%
Saved vs a UK Hire
24h
Average Response Time

Save Up to 55% — Without Compromising on Quality

Here's the honest version most agencies won't give you: a senior AI engineer in the UK typically costs £6,000–£9,000 per month once salary, tax and overhead are counted, and the contract market is worse — £600–£900 a day is normal for anyone with shipped LLM work behind them. A dedicated AI developer through Codified Studio costs $2,000–$3,500 per month for full-time work, because our team operates remotely from Pakistan with none of the UK office overhead baked into your invoice.

You're not trading quality for the saving. You get:

A dedicated developer working only on your project

Direct daily comms — no account-manager relay

In-house senior standards: testing & code review

Scale the team up or down, no hiring overhead

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Why Hire a Dedicated AI Developer (Instead of a Freelance AI Engineer)?

The freelance AI engineer market is the least legible hiring market in software right now. Titles are new, portfolios are demos, and the gap between someone who has called an API and someone who has run an LLM feature in production under load is enormous — and invisible on a CV. A dedicated developer inside an accountable team removes most of that risk.

Production AI, not notebook AI.

Evaluation harnesses, regression tests on prompts, fallback behaviour when the model is wrong, and cost ceilings per request. The unglamorous half is the half that decides whether the feature survives contact with customers.

Retrieval done properly (RAG).

Chunking strategy, embeddings, a vector index that stays fresh as your content changes, and citations so answers are checkable. Most “the AI hallucinates” complaints are retrieval problems wearing a model costume.

Agents that do work, with a leash.

Tool-calling agents that read your systems and take real actions — with scoped permissions, human approval on anything irreversible, and full traces of what ran and why.

Costs you can forecast.

Token spend modelled before launch, caching where responses repeat, and a smaller model used wherever it measurably matches the big one. AI features that quietly cost more than they earn are a design failure, not a surprise.

AI

Dedicated AI Development

LLMs, RAG & Agents — What We Actually Build

“AI developer” covers a wide range of work, so here is the concrete version. Our AI engineers build features into products you already run, on infrastructure you already own — not standalone science projects that never integrate.

LLM features inside existing products — drafting, summarising, classification, extraction, search that understands the question
RAG systems over your own documents, tickets, catalogue or knowledge base, with citations back to the source
AI agents that call your internal tools and APIs, with permission scoping and human approval on destructive actions
Generative AI work: content and image pipelines, structured output that downstream code can rely on, fine-tuning where a prompt genuinely isn't enough
Model-agnostic integration across Claude, GPT and open-weight models, so a price change or deprecation is a config change and not a rewrite

One thing we'll say plainly at scoping: a large share of “we need AI” briefs are better solved by ordinary automation or a decent search index, for a fraction of the cost and none of the unpredictability. We'll tell you when that's the case rather than sell you a model you don't need.

What Does a AI Developer Do?

A dedicated AI developer takes a feature from vague ambition to something running in production. Day to day, that means:

Turning an open-ended idea into a scoped, evaluable feature with a definition of “good enough” you both agree on
Building retrieval pipelines — ingestion, chunking, embeddings, re-ranking — and keeping the index fresh as your data changes
Writing and version-controlling prompts, with evaluation sets so a change can be measured instead of eyeballed
Wiring models into your existing APIs and back-end, with retries, timeouts, rate limiting and graceful degradation
Instrumenting everything: latency, token cost per user action, failure modes, and traces you can debug from

At Codified Studio, your AI developer works alongside our back-end and product engineers — so the feature ships inside your actual product, with tests and monitoring, rather than arriving as a separate prototype for someone else to integrate.

Key Technologies & Tools We Use

The exact stack your dedicated AIdeveloper builds with — production-grade tools, not whatever's trending this week.

Python
FastAPI
Node.js
TypeScript
PostgreSQL
Redis
MongoDB
Docker

How We Work — From First Call to Launch (and After)

No black box. Here's exactly what happens once you bring us in:

Discovery call

We scope what you actually need — a real conversation about the product, timeline, and technical constraints. This is where we figure out if you need a specialist, a full-stack developer, or a small team.

Proposal & team match

You get a clear scope, timeline, and price — no vague “let's discuss” pricing. We match you with the developer(s) whose past project experience is closest to what you're building.

Kickoff & sprint planning

Your developer is introduced, the project is broken into sprints, and you get a shared board so progress is visible from day one.

Build

Development happens in short, reviewable cycles — not a single black-box handoff at the end. You see working software early and often.

QA & testing

Every feature is tested — unit tests, integration tests, and manual QA — before it's marked done.

Launch

Deployment, performance checks, and a final walkthrough so your team knows exactly what's live and how it works.

Post-launch support

We stay on for bug fixes, monitoring, and ongoing feature work — on a retainer or ad-hoc basis, whichever fits how your product will actually evolve.

How to Hire a AI Developer

If you're evaluating who to bring onto your project, here's what actually matters:

1

Ask what they've shipped, not what they've tried.

Demos are cheap now. Ask for an AI feature live in production with real users, and what broke in the first month.

2

Probe evaluation, not prompting.

“How would you know if a prompt change made it worse?” separates engineers from enthusiasts faster than any other question.

3

Check they'll argue against AI.

A developer who never says “this doesn't need a model” will happily bill you for one. Honest scoping is a skill, not a soft one.

4

Confirm data handling up front.

Where your data goes, which providers see it, what's retained, and whether anything is used for training. Get it in writing before a single document is uploaded.

5

Insist on cost modelling.

Ask for projected token spend at your expected volume. If nobody can produce a number, nobody has thought about it.

Or skip the vetting yourself — hire through Codified Studio. We've already done steps 2–4 above for every developer on our team. You get a scoped proposal, a point of contact, and a developer who's already proven on real projects — not a resume.

How Much Does It Cost to Hire a AI Developer?

AI engineer costs in the UK have moved fast, and the contract market especially. Here's how the options compare for full-time equivalent work:

Engagement typeTypical range
UK in-house hire (mid-level)£4,500 – £6,000 / month
UK in-house hire (senior)£6,000 – £9,000 / month
Freelance / contract AI engineer£600 – £900 / day
Dedicated AI developer via Codified Studio$2,000 – $3,500 / month

The cheapest option on paper isn't always the cheapest in practice. A freelancer at a lower day rate who needs heavy management, or a junior hire who needs mentoring through architecture decisions, often costs more in total than a dedicated developer who's already integrated into a proven team process. When you hire through Codified Studio, pricing is transparent from the first quote — no hidden onboarding fees, no surprise scope creep.

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Hire a Remote AI Developer, Fully Integrated with Your Team

“Remote” doesn't mean “hands-off.” Every developer we place works to UK business hours overlap, with daily standups, sprint check-ins, and a dedicated project manager as your single point of contact — so it feels like an in-house hire, minus the in-house overhead. Whether you need one developer for three months or a small dedicated team for an ongoing product, the process and communication structure stays exactly the same.

FAQ

Frequently Asked Questions

Most clients are matched with a developer within 3–5 business days of an initial scoping call. If you have a hard start date, mention it in your brief and we'll confirm whether it works.

Other Roles You Can Hire

Not sure you need a full-time developer?

Hiring makes sense when the work is ongoing or your team just needs more capacity. If you have one defined thing to build instead, a fixed-scope ai chatbot development project gives you a firm price and a delivery date up front.

See the project option

Ready to hire a AI Developerwho's already part of a proven team?

Tell us about your project and we'll come back with a scoped recommendation — not a generic sales call.

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Dedicated AI developer
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