Software Engineer, Open Source AI at Backblaze

Backblaze

Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico·7h ago

Mid LevelFull-timeJavaScriptTypeScriptPythonJavaRustREST APIGitGoAI

Salary Range

$25,500 - $34,500 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are seeking a Software Engineer to build and maintain open source AI integrations, frameworks and example applications that enable developers to use Backblaze B2 Cloud Storage within real-world AI workflows. The primary objective of this role is to contribute production-quality open source tooling, sample applications, and reference implementations that integrate B2 cloud storage with modern AI ecosystems.

Key Responsibilities

→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.

Requirements

✓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.