LLM Engineer/AI Engineer Cheshire
Job Description & How to Apply Below
LLM Engineer / AI Engineer – Cheshire
My client is a fast-growing AI technology company building intelligent systems deployed in real-world, safety-critical environments. Their solutions combine advanced AI, data, and edge technologies to support decision-making and reduce risk in high-hazard industrial settings.
They are now looking to hire a LLM Engineer to help design and deliver large language model–powered capabilities across internal platforms and customer-facing products.
This is a hands-on, production-focused role for someone with strong real-world LLM experience, not a purely research or experimental background.
The Role
You will:
Design, build and deploy LLM-driven features into live products and platforms
Work with both commercial and open-source LLMs, selecting the right model for each use case
Build and optimise RAG pipelines, embeddings and vector-based retrieval solutions
Develop APIs and services that integrate LLMs with existing AI, data and platform systems
Optimise solutions for performance, reliability, latency and cost
Collaborate with engineering, AI and product teams to identify and deliver high-value use cases
Ensure all solutions meet security, compliance and data governance standards
What My Client Is Looking For
Essential
Proven experience deploying LLMs in production
Strong Python development skills
Hands-on experience with:
Prompt engineering and evaluation
Retrieval-Augmented Generation (RAG)
Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)
Experience building LLM-backed services using FastAPI / Flask or similar
Strong understanding of trade-offs around accuracy, latency, cost and scalability
Highly Desirable
Experience working with or fine-tuning open-source LLMs
Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning)
Experience integrating LLMs into complex or data-heavy systems
Docker and Linux experience
Background in regulated, industrial or safety-critical environments
The Right Mindset
Pragmatic, delivery-focused and comfortable working with ambiguity
Able to translate complex AI concepts into practical solutions
Confident owning problems end-to-end, from idea through to deployment
Motivated by building AI that has real-world impact
Why Apply?
High-impact role with real ownership
Opportunity to shape how LLMs are used in production environments
Work on meaningful, technically challenging problems
Collaborative engineering culture within a scaling business
Interested? Please Click Apply Now!
LLM Engineer / AI Engineer – Cheshire
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