Platform engineer for AI enablement

Wayve; Greater London; Hybrid; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid working

Equity participation

Relocation sponsorship

Learning & development budget

Health insurance

Pension

Therapy & wellbeing

Job summary

Wayve in the United Kingdom is building an AI Enablement platform that powers safe, cost-efficient access to language models and AI agents. You will be an early member of the platform team, shaping 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 and observability, partnering with security, IT and engineering.

Qualifications

• Bachelor's degree in computer science or equivalent.
• Experience building APIs, services, or developer tooling.
• Hands-on with cloud infrastructure, Kubernetes and IaC.
• Familiarity with LLM APIs and agent frameworks.
• Strong production observability: metrics, tracing, logging.
• Security-conscious approach to auth, governance and auditability.

Responsibilities

• Design, build, and operate infrastructure for model access, agent runtimes, and observability.
• Lead projects from problem definition to design, deployment, and operation.
• Collaborate with security, IT, and engineering teams.
• Document reusable patterns and assist teams in adopting the platform.
• Deliver governed, production-ready access to language models with routing and cost controls.
• Ensure reliable, scalable deployments using cloud, Kubernetes, and IaC.

Skills

APIs & services

Cloud infrastructure

Kubernetes

Infrastructure as Code

LLM APIs

Observability

Security

Documentation

Education

Bachelor's degree in CS or equivalent

Master's degree (optional)

Tools

Terraform

Docker

Prometheus/Grafana

GitHub Actions

Job description

Описание:

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Wayve’s AI Enablement team builds the shared platforms that help people across the company use language models and AI agents safely, reliably, and cost-effectively. As an early member of this platform team, you’ll help shape both the technical foundations and the standards for how AI-powered tools are built and operated across Wayve.

Задачи:

You’ll design, build, and operate infrastructure for model access, agent runtimes, and observability. You’ll take projects from initial problem definition through technical design, deployment, and ongoing operation, partnering closely with security, IT, and engineering teams. You’ll also support teams adopting the platform by troubleshooting issues, documenting reusable patterns, and helping people understand what’s possible with the tools available. A governed, production-ready access layer for language models, including routing, authentication, cost controls, and auditability. Secure infrastructure and reusable tooling for running agentic workflows in production. Observability covering platform usage, cost, reliability, and performance. Governance and safety controls that make AI use secure, compliant, and auditable. Shared primitives, standards, and best practices that enable teams to build and deploy agents without creating one-off infrastructure. Reliable, scalable deployments using cloud infrastructure, Kubernetes, and infrastructure-as-code.

Требования:

You have strong software engineering experience building APIs, services, or developer tooling. You’ve built or operated platforms and infrastructure used by other engineering teams. You have hands-on experience with cloud infrastructure, Kubernetes, and infrastructure-as-code. You’re familiar with LLM APIs and the surrounding ecosystem, such as model gateways, agent frameworks, MCP, or RAG. You understand production observability, including metrics, tracing, and logging. You take a security-conscious approach to authentication, authorization, governance, and auditability. You’re comfortable taking ownership in an ambiguous, fast-moving environment and can communicate clearly through documentation and collaboration.

Условия:

We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. Salaries benchmarked against the market annually Meaningful equity, sharing in the ownership and long term success of Wayve Relocation support and visa sponsorship where applicable Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs Learning and development budgets with support for training, conferences and growth Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more