ClickHouse

1 month ago

AI Product Engineer - ClickStack

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Engineer the agent stack for ClickStack, building incident-investigating agents and a library of reusable skills. You’ll own the agent end-to-end, design MCP-backed tooling, and optimize DX for production AI workloads, collaborating openly with OSS and customers to reduce latency, cost, and hallucinations while expanding capabilities of a petabyte-scale observability platform.

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build agents that investigate incidents. They surface anomalies, answer 'why is production broken?', and use ClickStack as their substrate.
•Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch.
•Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You’re responsible for whether the agent works in production.
•Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable themselves.
•Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.

Pay and Benefits

Perks:Health InsuranceEquityTime OffRemote WorkHome OfficeGlobal Gatherings

Key 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. 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.

Experience:5+ yearsAILLMObservabilityAgentsProduction systems

Languages:English

Tech Stack:TypeScriptNode.jsPythonSQLClickHouseDockerKubernetesOpen Source

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

1 month ago

AI Product Engineer - ClickStack

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Germany

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build agents that investigate incidents. They surface anomalies, answer 'why is production broken?', and use ClickStack as their substrate.
•Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch.
•Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You’re responsible for whether the agent works in production.
•Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable themselves.
•Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.

Pay and Benefits

Perks:Health InsuranceEquityTime OffRemote WorkHome OfficeGlobal Gatherings

Key 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. 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.

Experience:5+ yearsAILLMObservabilityAgentsProduction systems

Languages:English

Tech Stack:TypeScriptNode.jsPythonSQLClickHouseDockerKubernetesOpen Source

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn