Platform Engineer, AI Enablement

Highlights

• Build shared platform helping teams use AI agents safely and reliably.
• Design governed model access with routing, cost controls and auditability.
• Enable teams to deploy agents without one-off infrastructure.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in ownership and long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on work in workshops and labs
• Learning and development budgets for training, conferences and growth
• Comprehensive benefits including health, dental, parental leave, pension, wellbeing support and socials

Ideal candidate

Platform-minded engineer who loves building trusted foundations for others and thrives in ambiguity. You care about safe, reliable AI adoption and communicate clearly through docs and collaboration.

Requirements

• Strong software engineering experience building APIs, services, or developer tooling
• Built or operated platforms and infrastructure used by other engineering teams
• Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code
• Familiar with LLM APIs and ecosystem such as model gateways, agent frameworks, MCP, or RAG
• Understand production observability including metrics, tracing, and logging
• Security-conscious approach to authentication, authorization, governance, and auditability
• Comfortable taking ownership in ambiguous, fast-moving environment with clear communication