Senior Software Engineer – Integrations, AI/ML

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

📋 Description

• Take ownership of and enhance the Python connector and SDK ecosystem for ClickHouse, focusing on performance, reliability, and API design.

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

• Develop connectors and integration methodologies for LangChain, LlamaIndex, n8n, embedding pipelines, vector stores, and a broader array of AI tools.

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

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

• Leverage expertise in Data Engineering and Data Science workflows to inform roadmap and prioritization decisions.

⛳️ Requirements

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

• Demonstrated ability in designing, constructing, and maintaining production-quality Python connectors, SDKs, or integrations for at least one major platform.

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

• Proficient in the Python data ecosystem, including libraries such as Pandas, NumPy, and Pydantic.

• Strong foundation in database principles: SQL, data modeling, query optimization, and knowledge of OLAP/analytical databases.

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

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

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

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

• Knowledge of the JVM ecosystem is a plus.

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

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

🏝️ Benefits

• Flexible work environment with remote-friendly arrangements.

• Employer contributions towards healthcare expenses.

• Stock options or equity in the company.

• Flexible time off policy in the US, with generous entitlements in other countries.

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

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