Senior Platform Engineer

Senior AI Platform Engineer

London | 4 days onsite

Up to £140,000

Build the platform behind production AI

We’re partnered with a high-growth technology business investing heavily in AI, platform engineering, and cloud infrastructure. They’re now hiring a Senior AI Platform Engineer to help build the systems that take AI from prototype to production.

This is not a role focused on AI experimentation or one-off GenAI demos.

It’s a chance to build the core platform, tooling, and infrastructure that enables teams to deploy LLM-powered products, agentic workflows, and retrieval systems in a way that’s scalable, secure, and production-ready.

You’ll be responsible for:

• Building the core AI platform for LLM-powered products and internal AI tooling
• Creating the APIs, services, and developer tooling that make AI easy to adopt across teams
• Designing and operating agent-based and multi-model workflows
• Building and scaling RAG pipelines, retrieval services, and vector search infrastructure
• Improving the reliability, latency, observability, and cost-efficiency of AI workloads
• Putting the right security, governance, and operational controls in place
• Automating deployment and platform operations using Kubernetes, Terraform, and CI/CD
• Working closely with product, security, and engineering teams to shape how AI is delivered across the business

What they’re looking for

They’re looking for a strong engineer with a platform mindset and experience building systems that are designed to run reliably at scale.

• Strong software / platform engineering experience using Python, Go, or Java
• Experience building and operating distributed systems in cloud-native environments
• Hands-on experience with Kubernetes, containers, and infrastructure tooling
• Experience with LLM applications, AI/ML platforms, or production AI systems
• Familiarity with agent frameworks, orchestration patterns, or multi-model workflows
• Experience with RAG, embeddings, vector databases, or retrieval systems
• Strong CI/CD and infrastructure-as-code skills
• An understanding of what it takes to run AI in production - including monitoring, evaluation, security, and governance

Why join

A lot of AI roles are still stuck at the proof-of-concept stage.

This one isn’t.

You’d be joining a business making a serious investment in production AI capability, with the opportunity to build the platform layer behind real AI products and shape how AI is deployed across the organisation.