Senior Software Engineer - Integrations - AI/ML
ClickHouse · Remote · Israel ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior level role
- Fully remote global
- Python + AI/ML focus
- Equity included
- Healthcare contributions
The Connectors team bridges ClickHouse with the broader data ecosystem, serving millions of developers and AI agents. You will own the lifecycle of key AI/ML integrations, ensuring ClickHouse serves as a robust vector store and feature backend for modern data applications.
This position requires a practitioner’s perspective, blending high-performance database engineering with deep experience in AI workflows. You will drive architecture and performance for tools used in retrieval-augmented generation and LLM-powered systems.
What you'll do
- Own and evolve the Python connector and SDK ecosystem for performance and reliability
- Design connectors and patterns for RAG architectures and ML feature pipelines
- Engage with the open-source community to triage issues and shape the roadmap
- Collaborate with Product and Cloud teams to align integration work with platform priorities
- Apply practitioner insights to prioritize features based on real-world data workflows
What you'll need
- 7+ years of software development experience including time as a Data Scientist or ML Engineer
- Proven experience building production-grade Python connectors or SDKs for major platforms
- Hands-on experience with AI/ML in production, such as vector search or embedding generation
- Strong knowledge of the Python data ecosystem including Pandas, NumPy, and Pydantic
- Solid database fundamentals with SQL, data modeling, and OLAP familiarity
- Experience with concurrent Python patterns including threading and async
- Outstanding written and verbal communication skills for cross-functional collaboration
Nice to have
- Prior experience as a Data Engineer or Data Scientist in a product-facing role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Knowledge of the JVM ecosystem
- Experience deploying AI/ML models in production with inference APIs
- Familiarity with tools like dbt, Airflow, Dagster, or Prefect
Stack
- Python
- Pandas
- NumPy
- Pydantic
- SQL
- ClickHouse
- LangChain
- LlamaIndex
- Apache Spark
- Kafka Connect
How you'll work
- Fully remote with employees in over 25 countries
- Flexible work environment
- USD 500 home office setup allowance for remote employees
What you get
- Employer contributions towards healthcare
- Stock options for every new team member
- Flexible time off in the US and generous entitlement elsewhere
- Opportunities for in-person connection at global company offsites