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Senior Software Engineer - Integrations - AI/ML

Job Overview

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how… We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

Key points

  1. Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design.

  2. Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards.

  3. Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines…

  4. Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback.

  5. Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps…

  6. 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.

  7. Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries.

  8. SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

Skills

Machine LearningLLMsPythonRAGRoadmappingSQLPandasNumPy

Experience: Senior-level · 7+ years · Job type: Full-time

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