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Artificial Intelligence Engineer

AI Systems Engineer

Location: Hybrid (Manchester)

Salary: £60,000 - £75,000


The Opportunity


This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.


This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.


You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.


What You'll Be Doing


  • Designing and building AI-powered applications and services
  • Developing intelligent workflows and agentic systems
  • Integrating LLMs into production software products
  • Building retrieval, context and memory systems
  • Designing robust APIs and backend services
  • Evaluating AI performance, reliability and quality
  • Implementing monitoring, testing and fallback mechanisms for AI-driven features
  • Working closely with engineering leadership to define best practices for AI-native development
  • Contributing to architectural decisions across a modern cloud-based platform


Experience and Skills


Essential


  • Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
  • Experience building applications that utilise Large Language Models (LLMs)
  • Experience designing and delivering production-grade software systems
  • Strong understanding of software architecture and system design principles
  • Experience working with cloud platforms (AWS, Azure or GCP)
  • Strong programming skills in TypeScript, Python or similar modern languages
  • Experience integrating external APIs and services
  • Ability to make pragmatic technical decisions and communicate trade-offs


Highly Desirable


  • Experience building AI agents or agentic workflows
  • Experience with Retrieval Augmented Generation (RAG)
  • Experience working with vector databases and semantic search
  • Knowledge of context management and memory architectures
  • Experience evaluating and testing AI outputs in production environments
  • Experience designing AI-assisted automation systems
  • Exposure to frameworks and tooling within the modern AI ecosystem


Who This Will Suit


This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:


  • Senior Software Engineer
  • Backend Engineer
  • Full Stack Engineer
  • AI Systems Engineer
  • Applied AI Engineer
  • Platform Engineer with AI experience


Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.


Why Apply?


  • Work on genuinely innovative AI-native products
  • Influence technical direction and architecture
  • Join a team investing heavily in modern AI technologies
  • Solve complex engineering challenges at scale
  • Opportunity to help shape the future of AI-enabled software development


They are committed to moving quickly on this with interview slots available.


Please apply today.

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