AI Product Engineer: Agentic Observability

ClickHouse; Amsterdam; Remote; EUR 108,000 - 161,000; Full time

Benefits offered by this job

Remote-friendly

Healthcare

Equity

Flexible time off

Home office stipend

Global company gatherings

Job summary

ClickHouse is hiring an AI Product Engineer to build the agent layer for ClickStack, its petabyte‑scale observability platform. You’ll create agents that investigate incidents, surface root causes, and deliver concise summaries to on‑call engineers.

You will own the end‑to‑end stack, design skills, tools, and MCP servers, and collaborate with OSS contributors. Strong backend in TS/Node.js or Python and SQL proficiency with ClickHouse queries are required; Docker and Kubernetes experience is a

Qualifications

• 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.
• 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.
• Comfort with Docker and Kubernetes.
• Active in open source and the developer community.

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 and writes ClickHouse queries.
• Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. Responsible for production readiness.
• Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry and take action.
• Work in the open. Collaborate with OSS contributors and customers, debug their problems, and feed learnings back into the product.
• Tackle the hard parts: latency, cost, context window limits, eval coverage, hallucinations on real telemetry.

Skills

LLM-powered systems

Agent-based systems

TypeScript/Node.js

Python

SQL

Docker

Kubernetes

Open source

Eval pipelines

Tools

MCP

Job description

ClickHouse is hiring an AI Product Engineer to build the agent layer for ClickStack, its petabyte‑scale observability platform. You’ll create agents that investigate incidents, surface root causes, and deliver concise summaries to on‑call engineers.

You will own the end‑to‑end stack, design skills, tools, and MCP servers, and collaborate with OSS contributors. Strong backend in TS/Node.js or Python and SQL proficiency with ClickHouse queries are required; Docker and Kubernetes experience is a