Tibber25 дней назад
Senior AI Platform Engineer
Обязанности
- 01Contribute 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
- 02Take ownership of key platform components, from design and implementation to reliability and continuous improvement
- 03Help define workflows, quality standards and ownership models for how agents can write, test, review and support code
- 04Help shape safe and reliable agentic workflows, including human-in-the-loop boundaries
- 05Build trust infrastructure that makes agentic systems observable, secure, reversible and reliable in production
- 06Work closely with Staff Engineers and the wider Platform team to build on Tibber’s AWS, Kubernetes and infrastructure foundations
- 07Bring people along through clear technical communication, thoughtful collaboration and strong engineering judgment
Требования
- 01Bring hands-on production experience building and running reliable agentic software systems
- 02Treat 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 agentic quality in production is an ongoing discipline, not a launch checklist
- 03Have strong infrastructure knowledge across Kubernetes, Terraform, Infrastructure as Code, and platform networking
- 04Demonstrate strong software engineering depth in TypeScript, with the ability to own and operate services end-to-end
- 05Enjoys to communicate technical directions and collaborate with engineering teams to enable adoption, and turn platform capabilities into real impact
- 06Apply a strong security mindset to agent permissions, least-privilege designs, and blast radius awareness
- 07Have working knowledge of Model Context Protocol (MCP), evaluation frameworks, or cloud capabilities like AWS Bedrock