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Job Overview

We're hiring an AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform, with a focus on developer experience.

Key points

  1. Build agents that investigate incidents. They surface anomalies, answer "why is production broken?", and use ClickStack as their substrate.

  2. Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries…

  3. Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You're responsible for whether the agent works in production.

  4. Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry…

  5. You've been building agents long enough to have opinions — about context engineering, tool design, when to use a skill vs. a tool…

  6. You think in production terms: p99 latency, cost per task, whether the system still works next week without intervention.

  7. You move quickly, ship often, and learn from what breaks.

  8. You care about developer tools and have a clear sense of what good DX looks.

Skills

LLMsPythonJavaScriptTypeScriptNode.jsSQLDockerKubernetes

Experience: Entry-level · 1–2 years · Salary: £90K – £135K · Job type: Full-time

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