6 Month Contract (potential to extend)
We're looking for a hands on Generative AI Engineer to build, deploy and secure production grade AI applications within a regulated enterprise environment.
This is not a research or proof of concept role. We're looking for someone who has delivered real world GenAI solutions and can clearly explain both the concepts and the implementation behind them.
Essential Experience
Building and deploying production LLM applications
Strong experience with RAG including:
Document ingestion
Chunking strategies
Embeddings
Vector search and retrieval
Context engineering
Prompt orchestrationLLM deployment experience, not just experimentation
Azure OpenAI, Ollama and/or Vertex AI
Python, FastAPI and REST API development
LangChain and/or LangGraph
AKS, Kubernetes, Docker and Helm
Secure AI development and DevSecOps practices including:
RBAC
Azure AD
Key Vault
Secrets management
Secure deployment patterns
Auditability and governanceLLM evaluation and optimisation including:
Grounding
Hallucination detection
Response quality measurement
Accuracy testing
Prompt and context engineering
What We're Looking For
You should be able to confidently explain:
What RAG is and how to build it end to end
How embeddings and vector databases work
How to deploy and operate LLMs in production
How to secure AI systems and protect sensitive data
How to evaluate and improve model performance
How to expose AI capabilities through APIs and enterprise applications
Desirable
Azure AI Foundry
Agentic AI
MCP
Private LLM deployments
Enterprise security and regulated environments
Not Suitable If
❌ Experience is primarily notebooks, research or experimentation
❌ No production LLM deployment experience
❌ No RAG implementation experience
❌ Limited software engineering or API development background
If you've built, deployed, secured and evaluated GenAI solutions in production and can explain the architecture and decisions behind then either;
Call Claire Thomas, add on Linkedin or apply to this advert & I will come back
Salary description
£500.00 - £700.00 per day