Hire an AI Engineer.
Assistants that answer from your documents, with citations.
Also called: AI Developer, LLM Engineer, Generative AI Developer
From £5.50 an hour£5.50-25/hr
- SaaS & tech
- Startups
- Professional services
- Works your hours
- Nigeria hub, on London time or an hour ahead
- Month to month
- Designs and builds RAG pipelines end to endBuild & integrate
- Builds golden evaluation sets with domain ownersEvaluation & safety
- Monitors cost, latency, token usage and error ratesOperate & optimise
- Writes short design docs covering approach, trade-offs, eval planCollaboration & documentationDoing
- Python
- TypeScript / Node.js
- Qdrant
- Hugging Face
- FastAPI
- Docker
Pick the level. See the price.
£5.50an hour
Level 1 of 4, also called junior.Implements a clearly specified LLM feature from a ticket where the architecture is already decided.
- API endpoint calling an LLM with validated JSON output
- Basic RAG prototype over a defined document set
- Starter eval set of 30-50 cases
£9.50an hour
Level 2 of 4, also called mid-level.Owns an AI feature end to end: design doc, retrieval choices, prompts, eval harness.
- Production RAG assistant with citations and an eval dashboard
- Tool-using agent for one business workflow
- Prompt versioning and regression evals wired into CI
£14.50an hour
Level 3 of 4, also called senior.Owns the outcomes of AI initiatives and designs multi-component systems.
- Architecture and eval strategy for a product's AI layer
- Agent or workflow orchestration with full tracing and observability
- Cost/latency optimisation delivering a measured reduction
£25an hour
Level 4 of 4, also called lead or specialist.Leads a team of AI engineers and sets technical standards and platform choices.
- Reference architecture and shared AI platform components
- Team standards for evals, prompt review, security and release
- AI roadmap and vendor/model assessment
Per hour, all-in: recruiting, testing and management. Prices exclude VAT.
What you hand to your AI Engineer
Tasks
Build & integrate
- Designs and builds RAG pipelines end to end
- Builds agents that call tools and APIs
- Integrates LLM features into existing Python or TypeScript codebases
- Deploys AI services with Docker to AWS, GCP, Azure, Vercel or Modal
Evaluation & safety
- Builds golden evaluation sets with domain owners
- Measures retrieval quality separately from answer quality
- Implements guardrails
- Runs red-team sessions against agents and assistants
Operate & optimise
- Monitors cost, latency, token usage and error rates
- Reduces cost and latency with prompt caching, model routing
- Versions prompts and manages model migrations with regression testing
- Handles rate limits, retries, timeouts and provider fallbacks
Collaboration & documentation
- Writes short design docs covering approach, trade-offs, eval plan
- Explains model limitations and realistic accuracy targets
- Reviews code and prompts from other engineers
Week one
- Access to client repo, Slack channels
- Models provider keys issued under the client's own organisation
- Access to staging, observability and logs
- 60-minute architecture walkthrough with the client's tech lead, recorded
Tools
Work tools
Python
TypeScript / Node.js
- AWS Bedrock
- LlamaIndex
- Pinecone
Qdrant
- Weaviate
- pgvector
- Cohere Rerank
- LlamaParse / Unstructured
- Ragas
- Braintrust
Hugging Face
- vLLM / Ollama
FastAPI
Docker
GitHub and GitHub Actions
- AWS / GCP
Tested live in the tools on your job description.
AI tools
OpenAI API
Anthropic API
Azure OpenAI
Google Vertex AI / Gemini API
LangChain / LangGraph
Vercel AI SDK
Model Context Protocol
- LangSmith
- Langfuse
- Promptfoo
Google Gemini API
Microsoft Copilot Studio
Power Automate
n8n
Tested in the AI features of the tools you use, including catching the AI's mistakes.
Works inside your Microsoft 365 or Google Workspace, under your admin settings.
- Microsoft 365Copilot
- Google WorkspaceGemini
AI
Your AI Engineer builds assistants that answer from your documents with citations, and AI features inside your app, with test sets to check them.
Automations that end re-keying
Zapier, Make or n8n connecting your CRM, forms, email and accounts, with AI steps that sort, extract and draft.
Assistants on your own content
Custom GPTs, Claude Projects, Gemini Gems or Copilot agents that answer from your policies, products and past work.
Chat and voice agents
Agents that answer, qualify and book, and hand over to a person when they should.
Reporting and analysis
Excel with Copilot, Power BI or Python, with every number checked against the source.
Tests before go-live
A test set that shows whether the AI gets it right before your customers see it, and alerts when it slips.
Our rule: business-grade AI only, never free or personal accounts.
A person signs off before anything goes live, and builds run on your accounts, so you own what's built.
Tested before you meet them
How we test AI work
Tested on AI work, with mistakes planted in it
- Done with the AI tools the job uses, in a suite like yours.
- Catching them is part of the pass mark, at every level.
- Putting it into an AI tool fails the test, whatever the score.
- Planted problems found
- Error handling and a retry added
- Personal data out of the logs
- Alert on bad input
Passed at IntermediateReal profiles show the date and score.
- Written English and technical communicationAll levels30 min
- LLM fundamentals testAll levels45 min
- RAG build take-homeIntern to Expert4 hrs
- Agent debugging and guardrails live sessionIntermediate and up1.5 hrs
- AI system design scenarioExpert and Specialist60 min
- Portfolio and code walkthroughAll levels45 min
- AI workflow test: Failure-handling review60 min
Sample shown
90%
- Skills tested: A skills test for the role, marked by a senior
- English and comms: written English tested, spoken English checked on a call
- ID, work history and references: photo ID, past roles and two referees
From booked call to day one
Step 1: Book a demo
Tell us the role, your hours and your tools.
Step 2: Meet your shortlist
Their level and hourly price, tested before you meet.
Step 3: Pick your person
Month to month. We handle the contract, the equipment and the onboarding, and make sure it all runs.
Step 4: They start work
In your tools, within 12 to 48 hours of a successful interview.
Questions answered
An Intern AI Engineer is £5.50 an hour, Intermediate £9.50, Expert £14.50 and Specialist £25, full time (38 hours a week). That is all-in: recruiting, testing and management, month to month. Prices exclude VAT.
Build & integrate, evaluation & safety, operate & optimise and collaboration & documentation, run to your priorities. You choose what they own first.
Seven practical tests, marked by a senior, including written English and technical communication, LLM fundamentals test and RAG build take-home. You see the score before you meet.
Tell us and we replace them free, with a new shortlist of tested people to meet. Seats are month to month with 30 days' notice.
Meet the people who fit your work.
A 15‑minute call on Teams. You leave knowing the level you need and its hourly price.