Senior Software Engineer - Integrations - AI/ML
Senior engineer owning Python connectors and AI/ML integrations that enable ClickHouse in RAG, vector search, feature-store, and LLM application workflows. Requires 7+ years of development experience, production Python integration expertise, and hands-on Data Scientist or ML Engineer experience.
About the job
Responsibilities
- Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
- Drive AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applications.
- Design production-ready connectors and integration patterns for LangChain, LlamaIndex, n8n, and broader AI tooling.
- 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 platform priorities.
- Ground roadmap decisions in Data Engineer and Data Scientist workflows.
Requirements
- 7+ years of software development experience, including hands-on experience as a Data Scientist or ML Engineer.
- Proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or platform integrations.
- Production experience with embedding generation, vector search, feature pipelines, or LLM-powered tooling.
- Strong experience with Python data libraries, including Pandas, NumPy, and Pydantic.
- Strong database fundamentals, including SQL, data modeling, query optimization, and OLAP databases.
- Experience with concurrent Python, including threading, multiprocessing, and asynchronous patterns.
- Excellent written and verbal communication skills.
Nice to have
- Experience as a Data Engineer or Data Scientist in a product-facing or platform role.
- Familiarity with ClickHouse or other 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
- Equity through company stock options.
- Healthcare contributions.
- Flexible time off.
- USD $500 home-office setup benefit for remote employees.
- Opportunities to attend company-wide global gatherings.
Skills
Python, Python Sdks, pandas, NumPy, Pydantic, SQL, Data Modeling, Query Optimization, Olap Databases, Async Programming, Vector Search, LangChain, Llamaindex, Apache Airflow
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