Agentic AI Engineer Level: Staff (MTS 4) · Reports to: Chief AI Officer, later the Senior Engineering Manager The role. Build agents and the tools they use. Hands-on work on the reasoning layer, alongside the Agent Fleet Lead, with regular embeds beside the operators whose decisions you are encoding. You will • Extend and maintain the tool surface across our infrastructure and business systems, which needs ongoing development and consolidation • Implement agents that diagnose fleet conditions and produce recommended actions with visible reasoning • Translate operator runbooks and tacit knowledge into agent behaviour, largely by sitting with the operators • Build evaluation fixtures from real historical incidents and measure agent performance against them • Rotate through Systems and SRE embeds You have • Shipped production software with LLMs in the loop, including the unglamorous parts: retries, timeouts, malformed output, token and cost control • Strong Python • Experience building tool or function-calling interfaces that give models structured access to external systems • A demonstrable recent record of building and shipping rather than designing and reviewing • Curiosity about infrastructure and willingness to learn it from the people who run it Nice to have: async Python at scale, retrieval pipelines, OpenTelemetry, prior work on evaluation harnesses