Artificial Intelligence Engineer

Company: Loop Recruitment
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Job Description:

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.

If you’d like, I can also give you:

  • A shorter LinkedIn version
  • A more “AI-first start-up vibe” version
  • Or a slightly more conservative/enterprise-toned version depending on who you’re targeting

Posted: April 16th, 2026