Platform Engineer, AI Enablement
Salary not listed • London, United Kingdom • Full-time
Posted 26d ago
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Infrastructure Engineer
About the job
Wayve's AI Enablement team builds the shared platforms that enable employees across the company to use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you will help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve. You will design, build, and operate infrastructure for model access, agent runtimes, and observability. You will take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You will also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what's possible with the tools available.
Responsibilities
- Design, build, and operate infrastructure for model access, agent runtimes, and observability.
- Develop a governed, production-ready access layer for language models, including routing, authentication, cost controls, and auditability.
- Build secure infrastructure and reusable tooling for running agentic workflows in production.
- Implement observability for platform usage, cost, reliability, and performance.
- Create governance and safety controls for secure, compliant, and auditable AI use.
- Develop shared primitives, standards, and best practices for agent deployment.
- Ensure reliable, scalable deployments using cloud infrastructure, Kubernetes, and infrastructure-as-code.
Requirements
- Strong software engineering experience building APIs, services, or developer tooling.
- Experience building or operating platforms and infrastructure used by other engineering teams.
- Hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code.
- Familiarity with LLM APIs and the surrounding ecosystem (e.g., model gateways, agent frameworks, MCP, RAG).
- Understanding of production observability (metrics, tracing, logging).
- Security-conscious approach to authentication, authorization, governance, and auditability.
- Comfort taking ownership in an ambiguous, fast-moving environment.
- Clear communication through documentation and collaboration.
Benefits
- Salaries benchmarked against the market annually
- Meaningful equity
- Relocation support
- Visa sponsorship
- Hybrid working
- Core hours
- Learning and development budgets
- Support for training and conferences
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension, access to therapists, wellbeing partnerships, team socials