We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Ai Platform Engineer to join us in making the energy transition happen – maybe that’s you? Job Mission 🚀 As a Senior AI Platform Engineer, you’ll join the Agentic Enablement side of our Platform team and help build the technical foundation for how Tibber adopts and scales agentic systems across engineering. Your focus will be on the architecture, workflows and trust infrastructure that allow AI agents to safely support software development - from writing and testing code to reviewing changes, triggering workflows and knowing when to involve a human. This is a platform role, which means the engineers building agents at Tibber are your users. Your success is measured by how quickly and confidently they can move from idea to production without needing you in the room. This role is for someone who enjoys building reliable systems, thinking deeply about architecture and helping teams adopt new ways of working with confidence. What you'll do ✅ Contribute to the design and architecture of Tibber’s agentic development platform, including orchestration layers, platform integrations, feedback loops and escalation paths, and the developer-facing CLI and onboarding experience. Take ownership of key platform components, from design and implementation to reliability and continuous improvement. Help define workflows, quality standards and ownership models for how agents can write, test, review and support code. Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries. Build trust infrastructure that makes agentic systems observable, secure
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You have experience designing, building, or maintaining security-sensitive systems such as authorization, authentication, token management, credential storage, or related platforms
Department · Engineering
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