AI Product Engineer - ClickStack

ClickhouseClickhouse·Remote(Canada (remote))
Software Development
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WFA Digital Insight

As the demand for AI specialists continues to skyrocket, companies like ClickHouse are leading the charge in innovation. With the observability platform market expected to grow exponentially, professionals with expertise in building agents and designing skills are in high demand. ClickHouse, a pioneer in real-time analytics and AI workloads, is seeking an AI Product Engineer to join their team. Before applying, candidates should be aware that this role requires a unique blend of technical skills, production experience, and collaboration. With the remote job market offering more opportunities than ever, this position stands out for its focus on transforming how companies use data.

Job Description

About the Role

The AI Product Engineer position at ClickHouse is a unique opportunity to work on the bleeding edge of AI technology. As part of the team building ClickStack, the company's open-source observability platform, the successful candidate will focus on developing agentic capabilities that can investigate incidents, surface anomalies, and propose root causes. This role is crucial in helping companies transform how they use data, making it an exciting challenge for someone looking to make a significant impact.

The day-to-day responsibilities of this role will involve collaborating with a team of engineers who are passionate about AI, observability, and data analytics. The ideal candidate will have a strong background in building agents, designing skills, and working with petabyte-scale data platforms. They will be expected to own the agent stack end-to-end, ensuring that it works seamlessly in production environments.

ClickHouse is committed to innovation and has been recognized as one of the most innovative and fast-growing private cloud companies. The company's culture values collaboration, openness, and a passion for learning, making it an ideal environment for someone who thrives in a dynamic and challenging setting.

What You Will Do

  • Build agents that can investigate incidents, surface anomalies, and propose root causes.
  • Design and write skills that capture how the team debugs, finds root causes, and writes queries, to ensure agents can pick up the right playbook.
  • Own the agent stack end-to-end, including context engineering, tool design, evaluations, tracing, and cost optimization.
  • Ensure the agent works in production, debugging issues and feeding learnings back into the product.
  • Collaborate with OSS contributors and customers to understand their problems and integrate feedback into the product.
  • Work on making ClickStack a great place to run AI workloads by building MCP servers, SDKs, and integrations.
  • Tackle hard problems such as latency, cost, context window limits, eval coverage, and hallucinations on real telemetry.
  • Contribute to the open-source community by sharing knowledge and best practices.
  • Participate in the design and implementation of new features and tools.
  • Stay up-to-date with the latest developments in AI, observability, and data analytics.

What We Are Looking For

  • 5+ years of software engineering experience, with at least 1-2 years focused on LLM-powered systems or agents in production.
  • Strong backend skills in TypeScript/Node.js and/or Python, with the ability to work comfortably in both.
  • Hands-on experience building agents, including multi-step tool use, planning, memory, and error recovery.
  • Experience designing skills, such as Markdown-based workflow encodings or Anthropic-style skills.
  • Ability to think in production terms, including p99 latency, cost per task, and system reliability.
  • Strong understanding of developer tools and what good developer experience (DX) looks like.
  • Ability to move quickly, ship often, and learn from failures.
  • Experience with ambiguity and ownership, with a preference for taking initiative.

Nice to Have

  • Experience with petabyte-scale data platforms and real-time analytics.
  • Knowledge of observability tools and platforms.
  • Participation in open-source projects, especially those related to AI and observability.
  • Experience with cloud platforms, such as AWS, GCP, or Azure.
  • Familiarity with containerization technologies like Docker.

Benefits and Perks

  • Competitive salary and benefits package.
  • Opportunity to work with a cutting-edge AI platform.
  • Collaboration with a talented team of engineers and AI specialists.
  • Flexible working hours and remote work options.
  • Professional development opportunities, including training and conference attendance.
  • Access to the latest technologies and tools.
  • A dynamic and supportive work environment.

How to Stand Out

  • Ensure your portfolio includes examples of building agents and designing skills, preferably in a production environment.
  • Highlight your experience with petabyte-scale data platforms and real-time analytics in your application.
  • Practice explaining complex technical concepts simply, as this will be a key part of collaborating with the team and external contributors.
  • Be prepared to discuss your approach to debugging and troubleshooting, as well as how you handle ambiguity and ownership.
  • Research ClickHouse and its products to understand the company's mission and how your skills can contribute to its goals.
  • Prepare questions about the company culture, the team you'll be working with, and opportunities for growth and development.
  • Consider reaching out to current or former employees for insights into the company and role.

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