Implement and maintain open source AI integrations, frameworks and example applications using languages commonly used in the open source ecosystem, including Python, TypeScript, Go, and Rust.
Build and maintain public sample applications, SDK extensions, notebooks, and reference implementations demonstrating AI and cloud storage best practices.
Use AI-assisted development tools, including Claude Code, to accelerate implementation while validating correctness, security, and performance.
Contribute to open source projects through code contributions, issue triage, reviews, and ongoing maintenance.
Ensure all open source assets meet high standards for testing, documentation, reproducibility, and developer usability.
Maintain clean, well-structured GitHub repositories intended for external adoption and community contribution.
Collaborate with Product and QA to ensure integrations reflect real customer AI workflows and Backblaze B2 usage patterns.

Software engineer with experience contributing to open source projects in one or more widely used open source languages.
Comfortable owning and maintaining public repositories with external users and contributors.
Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems.
Experience writing production-quality code with strong testing and documentation practices.
Strong written communication skills with a focus on developer experience and adoption.

Software Engineer, AI Developer

Key skills