LLM EngineerseniorManchester Area, United KingdomhybridfulltimeInsurancePythonFastAPICeleryPostgresvector databasesRAGLangChainLlamaIndexposted
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AI Engineer (AI Systems) | Leading Insurance Brand
Package
: Up to £80,000 + 15% Bonus + 10% Pension
Locatio
n : Manchester (Hybrid)
We’re partnering with a forward-thinking organisation investing heavily in next-generation AI systems to power intelligent, data-driven applications.
This is a high-impact Senior Engineer role within a growing engineering function. You’ll take ownership of designing and delivering scalable AI-driven systems, working across the full lifecycle — from architecture through to deployment and optimisation in production.
If you enjoy building from first principles, working with modern LLM frameworks, and shaping how AI is embedded into real-world products, this is a genuinely exciting opportunity.
The Role
You’ll be responsible for architecting and optimising intelligent systems, ensuring they are scalable, performant and production-ready.
Key Responsibilities
* Designing and optimising AI-driven architectures
* Implementing vector and graph database solutions
* Building Retrieval-Augmented Generation (RAG) pipelines
* Developing agentic reasoning workflows (LangChain, LlamaIndex or similar)
* Managing the end-to-end AI lifecycle — ingestion, embeddings, extraction, synthesis, prompt engineering and orchestration
* Deploying and maintaining containerised models in Docker-based environments
* Collaborating closely with product and business stakeholders
* Mentoring and supporting more junior engineers
What We’re Looking For
* Strong Python engineering background
* Experience with FastAPI, Celery and Postgres
* Hands-on experience with vector databases and graph databases
* Experience building RAG-based systems
* Experience with agentic/orchestration frameworks (e.g. LangChain, LlamaIndex)
* Solid understanding of LLMs, embeddings and prompt engineers
The Environment
* Collaborative, engineering-led culture
* Strong focus on innovation and continuous improvement
* Flexible hybrid working
* Opportunity to shape AI capability from the ground up
* Modern cloud-native architecture
This role would suit someone who enjoys technical ownership, thinking architecturally, and building intelligent systems that have genuine business impact.
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