Senior Software Engineer - Integrations - AI/ML
Own ClickHouse integrations for the Python and AI/ML ecosystems, building production-grade connectors, SDKs, and tooling for RAG, vector search, feature pipelines, and LLM applications. Requires 7+ years of software development experience and strong Python, database, and concurrent-programming expertise.
About the job
Responsibilities
- Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
- Build and maintain integrations with orchestration platforms such as Airflow, Dagster, and Prefect, and transformation tools such as dbt.
- Drive AI/LLM integration strategy, including connectors and patterns for retrieval-augmented generation (RAG), ML feature pipelines, vector stores, and LLM-powered data applications.
- Own the lifecycle of AI/ML integrations across tools such as LangChain, LlamaIndex, and n8n.
- Engage with the open-source community by triaging issues, supporting contributors, advocating for users, and shaping the roadmap.
- Collaborate with Product, Cloud, and engineering teams on integration priorities.
- Bring practical Data Engineer and Data Scientist workflows into roadmap decisions.
Requirements
- 7+ years of software development experience, including hands-on experience as a Data Engineer, Data Scientist, or ML Engineer.
- Proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for a major platform.
- Production experience applying AI/ML in data-engineering contexts, including embedding generation, vector search, feature pipelines, or LLM-powered tooling.
- Strong experience with the Python data ecosystem.
- Strong database fundamentals, including SQL, data modeling, query optimization, and OLAP or analytical databases.
- Experience with concurrent Python, including threading, multiprocessing, and asynchronous patterns.
- Excellent written and verbal communication skills, with the ability to collaborate across engineering teams and open-source communities.
Nice-to-haves
- Experience as a Data Engineer or Data Scientist in a product-facing or platform role.
- Familiarity with ClickHouse or similar high-performance OLAP platforms.
- Familiarity with the JVM ecosystem.
- Experience deploying AI/ML models in production, including inference APIs and vector databases.
- Familiarity with dbt, Airflow, Dagster, or Prefect.
Compensation and Benefits
- USD $500 home-office setup allowance for remote employees.
- Healthcare contributions, company equity, and flexible time off.
- Global gatherings and opportunities to connect with colleagues at company-wide offsites.
Skills
Python, Python Sdks, Airflow, Dagster, Prefect, dbt, LangChain, Llamaindex, n8n, RAG, Vector Search, pandas, NumPy, Pydantic, SQL
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