Senior Software Engineer – Integrations, AI/ML

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

📋 Description

• Take ownership of and enhance ClickHouse’s Python connector and SDK ecosystem.

• Develop and sustain integrations with orchestration platforms and transformation tools.

• Lead the integration strategy for AI/LLM in RAG architectures, ML feature pipelines, and LLM-driven data applications.

• Manage the complete lifecycle of crucial AI/ML integrations, focusing on architecture, performance, and feature direction.

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

• Collaborate with Product, Cloud, and engineering teams to prioritize platform initiatives.

• Bring insights from Data Engineer and Data Scientist practitioners to inform roadmap decisions.

• Create production-grade connectors for LangChain, LlamaIndex, n8n, embedding pipelines, vector stores, feature stores, and LLM-driven applications.

⛳️ Requirements

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

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

• Practical experience implementing AI/ML in production data-engineering settings, including embedding generation, vector search, feature pipelines, or LLM-powered tools deployed and operational in production.

• Strong familiarity with the Python data ecosystem, including Pandas, NumPy, Pydantic, and related libraries.

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

• Significant experience with concurrent Python: threading, multiprocessing, and async patterns.

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

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

• Understanding of the JVM ecosystem.

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

• Familiarity with dbt, Airflow, Dagster, or Prefect is advantageous.

🏝️ Benefits

• Flexible work environment and remote-friendly opportunities within a globally distributed company.

• Employer contributions toward healthcare.

• Stock options/equity offered to every new team member.

• Flexible time off policy in the US.

• Generous time-off entitlement for employees in other countries.

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

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