AI Product Engineer - ClickStack

Required

• You ve been building agents long enough to have opinions — about context engineering, tool design, when to use a skill vs. a tool, what evals catch and miss, and where popular frameworks break down.
• You think in production terms: p99 latency, cost per task, whether the system still works next week without intervention.
• You move quickly, ship often, and learn from what breaks.
• You care about developer tools and have a clear sense of what good DX looks like.
• You do well with ambiguity and ownership.
• 5+ years of software engineering experience, including 1–2 years on LLM-powered systems or agents in production.
• Strong backend skills in TypeScript/Node.js and/or Python. Comfortable in both, even if one is primary.
• Hands-on experience building agents: multi-step tool use, planning, memory, error recovery. You ve shipped them and dealt with the failure modes.
• Experience designing skills (Markdown-based workflow encodings, Anthropic-style or similar) and a clear view on when a skill, a tool, or both is the right fit.
• Experience with MCP: building servers, designing tools, and thinking through auth, scoping, and observability for agentic systems.
• Strong evals practice: golden sets, LLM-as-judge, regression detection.
• SQL proficiency — you can write ClickHouse queries directly.