Artificial Intelligence Engineer

AI Engineer (AI Systems) | Leading Insurance Brand

Package: Up to £80,000 + 15% Bonus + 10% Pension etc

Location : 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 include:

• 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 engineering

Highly Desirable

• Experience designing multi-agent or autonomous systems
• Docker and cloud-native deployment experience
• Advanced RAG approaches such as:
• Tool-Augmented Generation (TAG)
• Context-Aware Generation (CAG)
• GraphRAG

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

Package

• Competitive base salary
• Discretionary bonus
• Non-contributory pension
• Private medical (family cover) + dental
• Hybrid working model
• Comprehensive wellbeing benefits

This role would suit someone who enjoys technical ownership, thinking architecturally, and building intelligent systems that have genuine business impact.