Senior AI Platform Engineer

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, reversible and reliable in production.
  

• Work closely with Staff Engineers and the wider Platform team to build on Tibber’s AWS, Kubernetes and infrastructure foundations.
  

• Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment.

What we're looking for⚡

You are driven by impact and know how to turn strategy into execution. You're used to fast-paced environments and thrive when given clear goals and high accountability.

We believe you'll thrive here if you:

• Bring hands-on production experience building and running reliable agentic software systems.
  

• Treat evaluation as a first-class engineering concern, you’ve built eval pipelines for non-deterministic systems, whether LLM-as-judge, regression suites, or golden datasets, and know that measuring agent quality in production is an ongoing discipline, not a launch checklist.
  

• Bring hands-on production experience building and running reliable agentic software systems.
  

• Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking.
  

• Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end.
  

• Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact.
  

• Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness.
  

• Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock.