Open Source AI Engineer for Cloud Storage

Backblaze; Argentina; A distancia; ARS 181.094.000 - 271.641.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly culture

Competitive compensation and benefits

Collaborative engineering teams

Descripción de la vacante

Backblaze is seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that embed Backblaze B2 Cloud Storage into modern AI workflows. This role combines cutting-edge AI tooling with reliable cloud storage, working with Python, TypeScript, Go, and Rust.

You will contribute production-grade code, tests, documentation, notebooks, and public references that show how B2 supports AI pipelines, collaborating with Product and QA to mirror real

Formación

• Contributed to open source projects in one or more popular languages.
• Experience owning public repositories with external contributors.
• Understanding of AI workflows and data orchestration.
• Production-quality coding with strong testing and docs.

Responsabilidades

• Implement and maintain open source AI integrations, frameworks and examples.
• Build public sample apps, SDK extensions and notebooks showing AI and cloud storage best practices.
• Use AI-assisted development tools and validate correctness, security and performance.
• Collaborate with Product and QA to reflect real customer AI workflows and Backblaze B2 usage patterns.

Conocimientos

Open source contribution

Python

TypeScript

Go

Rust

Herramientas

GitHub

CI pipelines

pytest

REST APIs

Descripción del empleo

Backblaze is seeking a Software Engineer to build and maintain open source AI integrations, frameworks, and example applications that embed Backblaze B2 Cloud Storage into modern AI workflows. This role combines cutting-edge AI tooling with reliable cloud storage, working with Python, TypeScript, Go, and Rust.

You will contribute production-grade code, tests, documentation, notebooks, and public references that show how B2 supports AI pipelines, collaborating with Product and QA to mirror real