Hiring: Senior Software Engineer - Integrations - AI/ML Company: ClickHouse Location: San Francisco, CA Job Posted Time: 2026-09-16 19:55:28 Employment Type: Remote Target Skills & Keywords : API Design, Airflow, ClickHouse, Dagster, Feature Store, Fivetran, Flink, Kafka, LLM, LangChain, LlamaIndex, MLOps, NumPy, Pandas, Prefect, Python, RAG, SQL, Spark, dbt About the job Experience: •7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer Required Skills: •As a Senior Software Engineer specializing in the AI & ML ecosystem •, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. •You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across •LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. •ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. •Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design •Strategically drive AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications •Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback Qualifications: •Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) •Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production •Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries •Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases •Solid experience with concurrent Python: threading, multiprocessing, and async patterns •Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities •Bonus Points For Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role •Operational familiarity with ClickHouse or similar high-performance OLAP platforms •Operational familiarity with the JVM ecosystem •Operational familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus Compensation: •$147,000 - $238,000 / year •Flexible work environment (work from home / hybrid options) •Equity in the company - Every new team member who joins our company receives stock options Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!