AI Platform Engineer

• Design and build scalable back-end services and APIs to support AI/LLM-powered features
• Develop and maintain infrastructure for deploying, monitoring, and scaling AI models in production
• Integrate cloud-hosted or locally hosted LLMs into live products
• Build RAG pipelines, agentic workflows, and prompt/conversation systems
• Collaborate with data, product, and engineering teams to translate business requirements into technical solutions
• Implement CI/CD pipelines, monitoring, and observability for AI-driven services
• Own the full lifecycle from experimentation and prototyping through to production deployment

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Java
• Kubernetes
• LLM
• Python
• RAG

• Strong commercial experience with Python and/or Java, plus cloud platforms such as Azure, AWS, or GCP
• Hands-on experience with LLM-based application development, including RAG, agents, and copilots
• Familiarity with vector databases, embeddings, and prompt engineering
• Experience with containerisation and orchestration such as Docker and Kubernetes is a plus
• Strong understanding of scalable, production-grade system design
• Comfortable working across experimentation and live deployment environments

We are a growing technology company based in Cambridge, building AI-powered products and internal tooling. We offer a competitive salary and benefits package, hybrid working, and the opportunity to shape our AI strategy and architecture from the ground up. You will join a collaborative, innovation-focused culture while helping us scale the infrastructure and systems behind our AI and LLM-driven applications.