Senior Software Engineer – Integrations, AI/ML

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

📋 Description

• Take ownership of ClickHouse's Python connector and SDK ecosystem, enhancing performance, reliability, and API design.

• Lead the strategy for integrating AI/LLM within RAG architectures, ML feature pipelines, and data applications powered by LLM.

• Create connectors and integration patterns for LangChain, LlamaIndex, n8n, embedding pipelines, vector stores, and a wider array of AI tools.

• Actively participate in the open-source community by triaging issues, supporting contributors, advocating for users, and influencing the roadmap.

• Work collaboratively with Product, Cloud, and engineering teams to ensure integration efforts align with platform priorities.

• Leverage expertise in Data Engineer and Data Scientist workflows to inform roadmap decisions and prioritization.

⛳️ Requirements

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

• Demonstrated ability to design, build, and maintain production-quality Python connectors, SDKs, or integrations for at least one major platform.

• Hands-on experience implementing AI/ML in data engineering scenarios, including embedding generation, vector search, feature pipelines, or LLM-powered tools.

• Proficient with the Python data ecosystem, including Pandas, NumPy, and Pydantic.

• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

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

• Excellent written and verbal communication skills; adept at collaborating across engineering functions and engaging with open-source communities.

• Previous experience as a Data Engineer or Data Scientist in a product-facing or platform role is advantageous.

• Familiarity with ClickHouse or similar high-performance OLAP platforms is a plus.

• Knowledge of the JVM ecosystem is a bonus.

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

• Familiarity with dbt, Airflow, Dagster, or Prefect is a plus.

🏝️ Benefits

• Flexible work environment with a remote-friendly arrangement.

• Employer contributions towards healthcare.

• Stock options/equity in the company.

• Flexible time off in the US; generous entitlement for employees in other countries.

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

• Opportunities to engage in company-wide offsites and global gatherings.