Senior LLM Engineer / AI Engineer Cheshire
Senior LLM Engineer / AI Engineer Cheshire My client is a fast-growing AI technology company building intelligent systems deployed in real-world, safety-critical environments.
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
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 Senior LLM Engineer to help design and deliver large language modelpowered 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.
Is your CV ready If so, and you are confident this is the role for you, make sure to apply asap.
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 Senior LLM Engineer to help design and deliver large language modelpowered 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.