Senior Software Engineer – Integrations, AI/ML

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

📋 Description

• Take ownership of and enhance ClickHouse's Python connector and SDK ecosystem, focusing on performance, reliability, and API design improvements.

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

• Create connectors and design patterns for the AI and LLM ecosystem, which includes LangChain, LlamaIndex, and n8n.

• Participate in the open-source community by triaging issues, providing support to contributors, advocating for users, and influencing the development roadmap.

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

• Incorporate insights from Data Engineer and Data Scientist workflows into roadmap and prioritization choices.

⛳️ Requirements

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

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

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

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

• Solid understanding of database principles: SQL, data modeling, query optimization, and experience with OLAP/analytical databases.

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

• Excellent written and verbal communication skills; comfortable working collaboratively across engineering functions and engaging with open-source communities.

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

• Knowledge of the JVM ecosystem.

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

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

🏝️ Benefits

• Flexible work environment and options for remote work.

• Employer contributions towards healthcare expenses.

• Stock options and equity in the company.

• Flexible time off policy in the US.

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

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

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