2 days ago

AI Product Engineer - ClickStack

ClickHouse

Amsterdam

2 days ago

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ClickHouse is hiring an AI Product Engineer to build agentic capabilities on top of ClickStack, an open-source observability platform. The role involves building agents that investigate incidents, designing reusable skills, and owning the agent stack end-to-end. Requires 5+ years of software engineering experience with 1-2 years on LLM-powered systems in production.

AIRemoteFull-timeSeniorTypeScriptNode.js

AI Product Engineer - ClickStack

Apply

AIRemoteFull-timeSeniorTypeScript

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years of software engineering experience, including 1-2 years on LLM-powered systems or agents in production

Core Qualifications

Technical (Must-have)

TypeScriptNode.jsPythonSQLClickHouseDockerKubernetesMCPLLMAgentContext EngineeringTool DesignEvalsOpen Source

Soft Skills

Problem SolvingOwnershipCollaborationCommunicationAmbiguity Management

Preferred Qualifications

Technical (Nice-to-have)

GoRustOpenTelemetryPrompt CachingContext CompactionColumnar DatabasesEvent Ingestion Pipelines

Key Responsibilities

•Build agents that investigate incidents, surface anomalies, and answer 'why is production broken?' using ClickStack.
•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, debug their problems, and feed learnings back into the product.
•Tackle hard parts: latency, cost, context window limits, eval coverage, hallucinations on real telemetry.

AIAgentObservabilityClickHouseOpen SourceRemoteFull-timeSeniorEngineeringLLM

Key Responsibilities

•Build agents that investigate incidents, surface anomalies, and answer 'why is production broken?' using ClickStack.

•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, debug their problems, and feed learnings back into the product.

•Tackle hard parts: latency, cost, context window limits, eval coverage, hallucinations on real telemetry.