Overview
As a Platform Engineer on Wayve’s AI Enablement team, you design and operate production-grade infrastructure for model access, agent runtimes, and observability. You partner with security, IT, and engineering to define standards and empower teams to build AI-powered tools safely and cost-effectively. You shape reusable patterns and tooling that scale across the organization, while maintaining governance and safety controls. This role offers hands-on impact in a fast-moving, ownership-driven context.
Pay / Benefits
- hybrid working
- relocation support and visa sponsorship
- learning and development budgets
- health insurance
- dental
- enhanced maternity and paternity leave
Responsibilities
- Design, build, and operate a governed access layer for language models (routing, authentication, cost controls, auditability)
- Provide secure infrastructure and reusable tooling for running agentic workflows in production
- Develop and maintain observability for usage, cost, reliability, and performance
- Implement governance and safety controls to ensure secure, compliant, auditable AI use
- Create shared primitives, standards, and best practices to avoid bespoke infra
- Support scalable deployments using cloud, Kubernetes, and infrastructure-as-code
Key requirements
- Strong software engineering experience building APIs, services, or developer tooling
- Experience building or operating platforms and infrastructure used by other teams
- Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code
- Familiarity with LLM APIs and ecosystem (model gateways, agent frameworks, MCP, or RAG)
- Understanding of production observability (metrics, tracing, logging)
- Security-conscious approach to authentication, authorization, governance, and auditability
- Ability to own initiatives in a fast-moving environment and communicate via documentation and collaboration
- strong communication
- ownership
- collaboration
- cloud infrastructure
- Kubernetes
- infrastructure-as-code
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