Senior Software Engineer - Integrations - AI/ML

7+ years of software development experience, including hands-on time as a Data Engineer, 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

Senior Software Engineer specializing in Python and the Data Ecosystem

, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem.

This role sits at the intersection of high-performance database engineering and developer experience.

You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand.

The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference.