[Hiring] Senior Software Engineer - Integrations - AI/ML @ClickHouse

Role Description

The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins to connectors for data frameworks, orchestration platforms, and AI tooling.

As a Senior Software Engineer specializing in the AI & ML ecosystem , you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience.

• Craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale.
• Own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction.
• Work with AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling.
• Build robust, production-ready connectors that make ClickHouse the natural choice for AI and data systems.

Qualifications

• 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer.
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations.
• Hands-on experience applying AI/ML in production data-engineering contexts.
• 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.
• Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities.

Requirements

• Prior 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 tools like dbt, Airflow, Dagster, Prefect is a plus.

Benefits

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
• Healthcare - Employer contributions towards your healthcare.
• Equity in the company - Every new team member receives stock options.
• Time off - Flexible time off in the US, generous entitlement in other countries.
• A USD$500 Home office setup if you’re a remote employee.
• Global Gatherings - Opportunities to engage with colleagues at company-wide offsites.
• Culture - As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.