AI Product Engineer

🔥 21 hours ago

🌐 United Kingdom, Canada, +3 more countries – Remote

🇬🇧 United Kingdom – Remote 🇨🇦 Canada – Remote 🇩🇪 Germany – Remote 🇺🇸 United States – Remote 🇳🇱 Netherlands – Remote

💵 £90k - £135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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, surface anomalies, answer why production is broken, and use ClickStack as their substrate • Build a reusable library of skills encoding debugging, root-cause analysis, ClickHouse querying, and incident response workflows • Own the agent stack end-to-end, including context engineering, tool design, evaluations, tracing, and cost management • Build MCP servers, SDKs, and integrations that enable customer agents to read telemetry, take action, and remain observable • Collaborate with open-source contributors and customers, debug their problems, and feed learnings back into the product • Address latency, cost, context-window limits, evaluation coverage, and hallucinations on real telemetry • Shape the culture of a rapidly scaling startup

🎯 Requirements

• 5+ years of software engineering experience • 1–2 years working on LLM-powered systems or agents in production • Strong backend skills in TypeScript/Node.js and/or Python; comfortable in both • Hands-on experience building and deploying agents with multi-step tool use, planning, memory, and error recovery • Experience designing skills using Markdown-based workflow encodings, Anthropic-style approaches, or similar • Experience with MCP, including building servers, designing tools, and handling auth, scoping, and observability • Strong evaluation practice, including golden sets, LLM-as-judge, and regression detection • SQL proficiency, including writing ClickHouse queries directly • Comfortable with Docker and Kubernetes • Active participation in open source and the developer community • Bonus: production agents in observability, incident response, or SRE • Bonus: agent observability experience, including tracing, cost attribution, eval pipelines, or OpenTelemetry • Bonus: prompt caching, context compaction, or similar production-agent techniques • Bonus: columnar databases and event ingestion pipelines • Bonus: contributions to or maintenance of an open-source AI/agent project • Bonus: familiarity with Go, Rust, or other systems languages for integrations and high-throughput infrastructure

🏖️ Benefits

• Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites • Flexible work environment • Remote-friendly work arrangement

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