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AI Product Engineer - ClickStack
ClickHouse
Toronto, CAN
Full Time
Senior
Yesterday
TypeScriptNode.jsPythonLLM/Agent DevelopmentMCPSQL
Free
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About the Role
ClickHouse is hiring an AI Product Engineer to build agentic capabilities on top of a petabyte-scale observability platform. You will build agents that investigate incidents, write reusable skills, and own the agent stack end-to-end.
Key Skills for This Role
TypeScriptNode.jsPythonLLM/Agent DevelopmentMCPSQL
Responsibilities
- Build agents that investigate incidents, surface anomalies, and answer 'why is production broken?'
- Write reusable skills that capture how the team debugs, finds root causes, writes ClickHouse queries, and runs incident response
- Own the agent stack end to end: context engineering, tool design, evals, tracing, cost
- Make ClickStack a great place to run AI workloads by building MCP servers, SDKs, and integrations
- Work in the open with OSS contributors and customers, debugging their problems and feeding learnings back into the product
- Tackle hard parts: latency, cost, context window limits, eval coverage, hallucinations on real telemetry
Requirements
- 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
- Hands on experience building agents: multi step tool use, planning, memory, error recovery
- Experience designing skills (Markdown based workflow encodings) and clear view on skill vs. tool fit
- Experience with MCP: building servers, designing tools, and thinking through auth, scoping, and observability
- Strong evals practice: golden sets, LLM as judge, regression detection
- SQL proficiency
- Comfort with Docker and Kubernetes
- Active in open source and the developer community
Full Job Posting
About ClickHouse
- ClickHouse is one of the most innovative and fast growing private cloud companies, recognized on the 2025 Forbes Cloud 100 list.
- ClickStack is the open source observability platform unifying logs, metrics, traces, and session replays.
What you'll do
- Build agents that investigate incidents, surface anomalies, and answer 'why is production broken?'.
- Write reusable skills that capture how the team debugs, finds root causes, writes ClickHouse queries, and runs incident response.
- Own the agent stack end to end: context engineering, tool design, evals, tracing, cost.
- Make ClickStack a great place to run AI workloads by building MCP servers, SDKs, and integrations.
- Work in the open with OSS contributors and customers, debugging their problems and feeding learnings back into the product.
- Tackle hard parts: latency, cost, context window limits, eval coverage, hallucinations on real telemetry.
What you bring
- 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.
- Hands on experience building agents: multi step tool use, planning, memory, error recovery.
- Experience designing skills (Markdown based workflow encodings) and clear view on skill vs. tool fit.
- Experience with MCP: building servers, designing tools, and thinking through auth, scoping, and observability.
- Strong evals practice: golden sets, LLM as judge, regression detection.
- SQL proficiency.
- Comfort with Docker and Kubernetes.
- Active in open source and the developer community.
Perks
- Flexible work environment globally distributed and remote friendly.
- Healthcare Employer contributions towards your healthcare.
- Equity in the company stock options for every new team member.
- Time off Flexible time off in the US, generous entitlement in other countries.
- CAD 500 Home office setup if you're a remote employee.
- Global Gatherings – company wide offsites.
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