CareerPlanSign in

Platform Engineer, AI Enablement

London, United Kingdom💼 Full-time🗓 2026-10-05 → 2026-10-07

Core

Design, build, and operate shared platforms for language models and AI agents, focusing on infrastructure, governance, and observability to enable safe, reliable, and cost-effective AI usage across the company.

Role type

Senior Platform Engineer (AI Infrastructure)

Builds

Production-ready access layers for LLMs, secure agent runtimes, and observability tooling

Deliverable

infrastructure

Required skills

API and service development, platform engineering, cloud infrastructure, Kubernetes, infrastructure-as-code, LLM ecosystem knowledge (gateways, agents, RAG), production observability, security and governance

Preferred skills

Experience in ambiguous environments, technical documentation, cross-functional collaboration

Technologies

Kubernetes, cloud infrastructure, infrastructure-as-code, LLM APIs, agent frameworks, MCP, RAG

Responsibilities

Design and deploy infrastructure for model access and agent runtimes; implement governance and safety controls; build observability solutions for platform usage and cost; document reusable patterns and standards; support teams in adopting the platform; troubleshoot production issues

Seniority

Senior, hands-on IC