AI Product Engineer

🕒 June 5

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ClickHouse

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.

📋 Description

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

🏖️ Benefits

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member who joins our company receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A $500 Home office setup if you’re a remote employee. • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.