Senior Software Engineer – Backend, AI/ML

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

📋 Description

• Design and develop AI-driven functionalities throughout the complete stack of the ClickHouse Cloud platform.

• Create reliable and scalable APIs that link ClickHouse database features with AI/ML inference systems and both external and internal AI services.

• Maintain and implement integrations with the wider AI/ML ecosystem and adherence to standards.

• Seamlessly incorporate models into production systems, ensuring monitoring, versioning, observability, and evaluation.

• Participate in the daytime on-call rotation.

• Develop and implement tools for developers, SDKs, and documentation that showcase ClickHouse's AI/ML capabilities.

• Create and manage AI and machine learning products from inception to completion, including the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships.

⛳️ Requirements

• Over 5 years of software engineering experience in production settings.

• Familiarity with AI/ML technologies.

• Experience in backend development using TypeScript or Python.

• Emphasis on API design and service architecture.

• Capability to lead features from initial concept to production with minimal oversight.

• Proficiency in communicating technical concepts to a varied audience.

• Experience in integrating and deploying AI/ML models in production systems, specifically with inference APIs and vector databases is desirable.

• Knowledge of AWS, Azure, or GCP, especially regarding AI/ML deployment services is a plus.

• Understanding of database systems and data processing pipelines is advantageous.

• Prior experience with ClickHouse is a significant advantage.

🏝️ Benefits

• Employer contributions towards healthcare.

• Stock options available for every new team member.

• Flexible time off policy in the United States.

• Generous time-off provisions in other countries.

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

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

• A remote-friendly work environment.