AI Engineer

You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing

• Building and deploying production AI applications using LLMs
• Designing agentic workflows and multi-step AI pipelines
• Developing scalable backend APIs and cloud-native services
• Creating RAG pipelines, embeddings and AI retrieval systems
• Improving AI reliability through testing, evaluation and guardrails
• Working closely with engineering, product and business teams
• Contributing to architecture decisions and AI best practice
• Helping shape the future direction of AI capability across the business, * Opportunity to work on genuinely cutting-edge AI products
• High-impact engineering role with real ownership
• Modern tech stack and AI-first environment
• Fully remote flexibility
• Strong growth plans and long-term AI investment

If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy. Not what you are looking for?

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Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for

• Strong Python backend engineering experience
• Experience building and deploying LLM-based applications
• Good understanding of APIs, distributed systems and cloud platforms
• Hands-on experience with RAG, embeddings and AI orchestration
• Experience with Docker/Kubernetes and modern engineering practices
• Someone comfortable operating in a fast-moving product environment

Nice to have

• Experience with agentic AI frameworks
• AI evaluation and guardrail implementation
• Fine-tuning or hosting LLMs
• Reinforcement learning or planning systems
• MSc or PhD in a relevant discipline