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
Platform engineer for AI enablement employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.
