Senior Software Engineer - Integrations - Ai/Ml

OverviewAs a Senior Software Engineer focusing on the AI & ML ecosystem, you will own and evolve ClickHouses AI integrations and Python SDKs to improve performance, reliability, and developer experience.You’ll design and maintain connectors with orchestration and transformation tools, and shape AI/LLM integration strategy for RAG pipelines and ML feature workflows.You’ll engage with the open-source community and align work with product and platform priorities.Your work helps data practitioners build AI-powered data apps on ClickHouse at scale.This role combines high-performance database engineering with developer-focused tooling to enable AI-driven data workflows.Compensaciones / BeneficiosFlexible work environmentHealthcare contributionsEquity in the companyFlexible time offRemote-friendly, global teamHome office setup stipendResponsabilidadesOwn and evolve ClickHouses Python connector and SDK ecosystem to boost performance, reliability, and API qualityDevelop integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade standardsDefine and implement AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applicationsEngage with the open-source community: triage issues, support contributors, advocate for users, and influence roadmapCollaborate with Product, Cloud, and other engineering teams to align integration work with broader platform prioritiesBring practitioner perspective to roadmap decisions, prioritizing genuine Data Engineer and Data Scientist workflowsRequisitos principales7+ years of software development experience with hands-on data engineering, data science, or ML engineeringProven experience designing and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platformHands-on experience applying AI/ML in production data-engineering contexts: embeddings, vector search, feature pipelines, or LLM toolingStrong Python data ecosystem knowledge: Pandas, NumPy, PydanticSolid SQL, data modeling, query optimization, OLAP/analytical databasesExperience with concurrent Python: threading, multiprocessing, and async patternsExcellent written and verbal communication; ability to collaborate across engineering functions and open-source communitiescollaborativecustomer-focusedcommunicationPython connectors and SDKsAI/ML in production: embeddings, vector searchPandas, NumPy, Pydantic

Engineer and Data Scientist workflowsRequisitos principales7+ years of software development experience with hands-on data engineering, data science, or ML engineeringProven experience designing and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platformHands-on experience applying AI/ML in production data-engineering contexts: embeddings, vector search, feature pipelines, or LLM toolingStrong Python data ecosystem knowledge: Pandas, NumPy, PydanticSolid SQL, data modeling, query optimization, OLAP/analytical databasesExperience with concurrent Python: threading, multiprocessing, and async patternsExcellent written and verbal communication; ability to collaborate across engineering functions and open-source communitiescollaborativecustomer-focusedcommunicationPython connectors and SDKsAI/ML in production: embeddings, vector searchPandas, NumPy, Pydantic