AI Product Engineer - ClickStack
WFA Digital Insight
As demand for AI-powered solutions surges, companies like ClickHouse are leading the charge in real-time analytics and observability. With the AI market projected to grow exponentially, specialists who can build and optimize AI workloads are in high demand. ClickHouse, a pioneer in this space, is now hiring an AI Product Engineer to join their mission to transform how companies use data. This role is particularly interesting given the current remote job market, where professionals with expertise in AI, data engineering, and cloud computing are highly sought after. With ClickHouse's commitment to innovation and customer satisfaction, this position offers a unique opportunity for the right candidate to make a meaningful impact.
Job Description
About the Role
The AI Product Engineer position at ClickHouse is a unique opportunity to be at the forefront of AI innovation, building agentic capabilities on top of a petabyte-scale observability platform. As part of the ClickStack team, you will be responsible for designing and developing AI-powered agents that can investigate incidents, propose root causes, and provide concise summaries to on-call engineers. This role requires a deep understanding of AI systems, software engineering, and the ability to work in a fast-paced, dynamic environment.ClickHouse is a leader in the cloud computing industry, recognized for its innovative approach to real-time analytics, data warehousing, and observability. With a strong focus on customer satisfaction and a commitment to transforming how companies use data, ClickHouse is the ideal place for professionals looking to make a real impact in the tech industry.
What You Will Do
- Build agents that can investigate incidents, surface anomalies, and answer complex questions about production environments.
- Design and develop reusable skills that capture the team's knowledge and expertise in debugging, finding root causes, and writing queries.
- Own the agent stack end-to-end, including context engineering, tool design, evaluations, tracing, and cost optimization.
- Collaborate with the engineering team to make ClickStack a great place to run AI workloads, building MCP servers, SDKs, and integrations.
- Work in the open, collaborating with OSS contributors and customers to debug problems and feed lessons learned back into the product.
- Tackle the hard parts of building AI systems, including latency, cost, context window limits, eval coverage, and hallucinations on real telemetry.
- Develop a deep understanding of ClickHouse's technology stack and contribute to the development of new features and capabilities.
- Participate in the design and implementation of AI-powered solutions that meet customer needs and exceed their expectations.
What We Are Looking For
- 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, with the ability to work in both languages.
- Hands-on experience building agents, including multi-step tool use, planning, memory, and error recovery.
- Experience designing skills, such as Markdown-based workflow encodings, and a clear view on what makes a good skill.
- Strong understanding of AI systems, including context engineering, tool design, and evaluations.
- Ability to work in a fast-paced environment, with a focus on shipping often and learning from failures.
- Strong communication skills, with the ability to collaborate with engineers, customers, and OSS contributors.
Nice to Have
- Experience with observability platforms and tools, such as logs, metrics, traces, and session replays.
- Knowledge of cloud computing platforms, such as AWS or GCP, and containerization technologies, such as Docker.
- Familiarity with Agile development methodologies and version control systems, such as Git.
- Experience with AI-powered chatbots or virtual assistants, and a understanding of their capabilities and limitations.
Benefits and Perks
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI technology and contribute to the development of new features and capabilities.
- Collaborative and dynamic work environment, with a team of experienced engineers and researchers.
- Flexible working hours and remote work options, with a stipend for home office setup and equipment.
- Professional development opportunities, including training, mentorship, and conference attendance.
- Access to the latest tools and technologies, including AI-powered development platforms and cloud computing services.
- Recognition and rewards for outstanding performance, including bonuses and stock options.
How to Stand Out
- Make sure to highlight your experience with AI-powered systems and agents in your resume and cover letter.
- Be prepared to discuss your understanding of context engineering, tool design, and evaluations in the interview.
- Show examples of your work, such as GitHub repositories or personal projects, to demonstrate your skills and expertise.
- Research ClickHouse and its technology stack to demonstrate your interest and knowledge of the company and its products.
- Prepare to talk about your experience with Agile development methodologies and version control systems, such as Git.
- Emphasize your ability to work in a fast-paced environment and collaborate with engineers, customers, and OSS contributors.
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