Platform Engineer, AI Enablement & Safe Model Access

Wayve; London (KY); On-site; USD 93,000 - 146,000; Full time

Job summary

Wayve is seeking a Platform Engineer on the AI Enablement team to build the infrastructure for safe, reliable, and cost-effective access to AI models and tools. You’ll develop a governed model-access layer, secure production environments, and reusable platform primitives while collaborating with Security, IT, and engineering teams.

You’ll own end-to-end platform initiatives, contribute to standards, and help teams adopt the platform with clear documentation and guided patterns in a fast-moving,

Qualifications

• 3+ years of software engineering experience building APIs, services, and developer tooling.
• Strong system-design fundamentals and infra decisions affecting multiple teams.
• Experience building and operating platforms or 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, including model providers, gateways, MCP, agent frameworks, and retrieval-augmented generation.
• Experience building observability into distributed systems using metrics, tracing, and logging.
• A security-conscious approach, including experience with authentication, authorization, and auditability.
• A strong sense of ownership and comfort working in an ambiguous, fast-moving environment.
• Clear communication and documentation skills that enable other teams to self-serve.

Responsibilities

• Design, build, and operate infrastructure for safe and cost-effective access to AI models and tools.
• Build the runtime, services, and developer tooling used to run agentic workflows in production.
• Create observability across cost, performance, reliability, and usage through metrics, tracing, and logging.
• Implement governance and safety controls that make AI use secure, compliant, and auditable.
• Develop reusable platform primitives, integrations, and guardrails that reduce one-off solutions.
• Contribute to standards and best practices for designing, building, and deploying agents.
• Automate infrastructure and deployment processes to keep the platform reliable and scalable.
• Partner with Security, IT, and engineering teams on platform integration, policy, and rollout.
• Help teams adopt the platform by troubleshooting issues, documenting patterns, and sharing what works.
• Educate colleagues on the AI platforms and tools available to them and how to use them.
• Own projects end to end and improve the platform based on real-world usage and feedback.
• Participate in the team’s on-call rotation, providing out-of-hours support for critical systems when required.

Skills

API development

System design

Platform/infrastructure

Cloud infrastructure

Kubernetes

IaC

LLM APIs

Observability

Security & audit

Ownership

Documentation

Communication

Tools

MCP

LLM gateway

Agent frameworks

Retrieval Augmented Generation

Job description

Wayve is seeking a Platform Engineer on the AI Enablement team to build the infrastructure for safe, reliable, and cost-effective access to AI models and tools. You’ll develop a governed model-access layer, secure production environments, and reusable platform primitives while collaborating with Security, IT, and engineering teams.

You’ll own end-to-end platform initiatives, contribute to standards, and help teams adopt the platform with clear documentation and guided patterns in a fast-moving,