Senior Software Engineer - Integrations - AI/ML

ClickHouse develops high-performance database technology and integrations for data practitioners, developers, and AI agents. The Senior Software Engineer will own and evolve AI/ML integrations, Python connectors, and SDKs while shaping tools for RAG architectures, ML feature pipelines, and LLM-powered data applications. The role also involves open-source engagement and collaboration across product and engineering teams.

Responsibilities:

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Drive the 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
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

Requirements:

• 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
• 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
• Prior 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 tools like dbt, Airflow, Dagster, Prefect is a plus