Senior Software Engineer – Integrations, AI/ML

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take charge of the development and enhancement of ClickHouse’s Python connector and SDK ecosystem.

• Lead the integration strategy for AI/LLM in RAG architectures, machine learning feature pipelines, and data applications powered by LLM.

• Create robust, production-ready connectors for ClickHouse’s AI and ML ecosystem.

• Interact with the open-source community by addressing issues, assisting contributors, advocating for users, and influencing the roadmap.

• Work in collaboration with Product, Cloud, and engineering teams to determine integration priorities.

• Incorporate perspectives from Data Engineers and Data Scientists into roadmap decision-making.

⛳️ Requirements

• A minimum of 7 years of software development experience, including practical experience as a Data Scientist or ML Engineer.

• Demonstrated experience in designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one significant platform.

• Hands-on experience applying AI/ML in data engineering contexts, such as embedding generation, vector search, feature pipelines, or LLM-powered tools.

• Proficient in the Python data ecosystem, including Pandas, NumPy, Pydantic, and other related libraries.

• Strong foundation in database concepts: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

• Experience with concurrent Python, including threading, multiprocessing, and asynchronous programming patterns.

• Excellent written and verbal communication skills.

• Knowledge of ClickHouse or similar high-performance OLAP platforms is advantageous.

• Familiarity with the JVM ecosystem.

• Experience in deploying AI/ML models in production, including inference APIs and vector databases.

• Knowledge of dbt, Airflow, Dagster, or Prefect is considered a plus.

🏝️ Benefits

• Employer contributions toward healthcare.

• Equity in the company; stock options available for every new team member.

• Flexible time off policy in the US.

• Generous time-off benefits in other countries.

• USD$500 allowance for home office setup for remote employees.

• Opportunities to connect with colleagues during company-wide offsite events.