Senior Software Engineer - Integrations - AI/ML
Senior engineer responsible for building production-grade Python connectors and AI/ML integrations that enable ClickHouse in RAG, feature-store, and LLM application workflows. Requires 7+ years of software development experience 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.
- Design connectors and integration patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications.
- Own the full lifecycle of AI/ML integrations across 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 to align integration work with platform priorities.
- Use Data Engineer and Data Scientist workflows to guide roadmap prioritization.
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 integrations for a major platform.
- Production experience with AI/ML data-engineering workflows, including embedding generation, vector search, feature pipelines, or LLM-powered tooling.
- Strong experience with the Python data ecosystem, including Pandas, NumPy, and Pydantic.
- Strong database fundamentals, including SQL, data modeling, query optimization, and OLAP or analytical databases.
- Experience with concurrent Python, including threading, multiprocessing, and asynchronous patterns.
- Excellent written and verbal communication skills, with the ability to collaborate across engineering functions and open-source communities.
Nice-to-haves
- 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 dbt, Airflow, Dagster, or Prefect.
Compensation and Benefits
- Stock options.
- Healthcare contributions.
- Flexible time off.
- $500 home office setup allowance for remote employees.
- Opportunities to attend company-wide global gatherings.
Skills
Python, Python Sdks, pandas, NumPy, Pydantic, SQL, Data Modeling, Query Optimization, Olap Databases, Concurrency, LangChain, Llamaindex, Vector Search, RAG, Apache Airflow
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