Currently tracking 11 active AI roles, down 10% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $118k–$300k (avg $208k).
ClickHouse has 16 active AI-related job listings, with a significant focus on agents, which accounts for 69% of these roles. Engineering is the primary function for these positions, with hiring concentrated in the United States, United Kingdom, and Netherlands. The company is actively seeking expertise in areas such as rag, llm_observability, and agent_orchestration. In the last 30 days, ClickHouse has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
ClickHouse currently has 18 active AI-related roles in our index. The most common open titles are: AI Product Engineer - ClickStack (5), Senior Software Engineer - Python and Data Ecosystem (5), Senior Software Engineer (Backend) - AI/ML (2), Senior Software Engineer (Typescript / FrontEnd) - AI/ML (2), Finance Systems & Transformation Manager. Most positions are in Engineering and Product.
ClickHouse's active AI hiring is concentrated in: agents (72%), serving infrastructure (17%), application (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ClickHouse is hiring AI talent in: United States (8 roles), United Kingdom (5 roles), Netherlands (5 roles), Israel (5 roles).
Job postings at ClickHouse most frequently mention: ClickHouse, OpenTelemetry, Debugging, Context Engineering, Software Engineering.
In the past 30 days, ClickHouse has posted 3 new AI-related roles. That is a -40% change versus the prior 30 days (5 → 3).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - Python and Data Ecosystem Senior Software Engineer focused on Python and the data ecosystem, specifically building and evolving ClickHouse's Python connector and SDK. The role involves creating integrations with orchestration and transformation tools, driving the AI/LLM integration strategy for RAG architectures and ML feature pipelines, and engaging with the open-source community. Requires significant software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer, with proven experience in production-grade Python connectors and applying AI/ML in production data-engineering contexts. | AgentData | 7 |
| Senior Software Engineer - Python and Data Ecosystem Senior Software Engineer to build and maintain Python integrations for ClickHouse, focusing on data ecosystem and AI/LLM workflows like RAG, feature stores, and LLM-powered applications. Role requires hands-on experience as a Data Engineer/Scientist and Python development. |
| AgentData |
| 7 |
| Senior Software Engineer - Python and Data Ecosystem Senior Software Engineer to build and maintain Python integrations for ClickHouse, focusing on data ecosystem and AI/LLM workflows like RAG, feature stores, and LLM-powered applications. Role requires hands-on experience as a Data Engineer/Scientist and Python development. | AgentData | 7 |
| Senior Software Engineer - Python and Data Ecosystem Senior Software Engineer to build and maintain Python integrations for ClickHouse, focusing on data ecosystem and AI/LLM workflows like RAG, feature stores, and LLM-powered applications. Role requires hands-on experience as a Data Engineer/Scientist and Python development. | AgentData | 7 |
| Senior Software Engineer - Python and Data Ecosystem Senior Software Engineer to own and evolve ClickHouse's Python connector and SDK ecosystem, focusing on integrations with orchestration platforms, transformation tools, and the AI/LLM ecosystem (RAG, ML feature pipelines, LLM-powered data applications). The role requires hands-on experience as a Data Engineer/Scientist/ML Engineer with Python, data ecosystem tools, and AI/ML in data engineering contexts. | AgentData | 7 |