Software Engineer (AI Engineering)

TL;DR

Software Engineer (AI Engineering): Building and maintaining open source AI integrations and frameworks to integrate hirify.global B2 Cloud Storage into AI workflows with an accent on data orchestration and agent-based systems. Focus on creating production-quality SDK extensions, sample applications, and contributing to the open source AI ecosystem.

Location: Remote - Argentina, Colombia, Costa Rica, or Mexico

Company

hirify.global provides reliable, high-availability cloud storage for consumers, SMBs, and enterprises, supporting data-intensive workloads including backup, media, and AI pipelines.

What you will do

• Implement and maintain open source AI integrations and frameworks using Python, TypeScript, Go, and Rust.
• Develop public sample applications, SDK extensions, and notebooks demonstrating cloud storage best practices for AI.
• Utilize AI coding agents like Claude Code to accelerate development while ensuring correctness and performance.
• Contribute to open source projects through code contributions, issue triage, and ongoing maintenance.
• Ensure all open source assets meet high standards for testing, documentation, and reproducibility.
• Collaborate with Product and QA to align integrations with real customer AI workflows.

Requirements

• Experience contributing to open source projects in one or more widely used languages (Python, TypeScript, Go, Rust).
• Ability to own and maintain public repositories with external contributors.
• Practical understanding of AI workflows, including data ingestion, preprocessing, inference, and agent-based systems.
• Ability to write production-quality code with strong testing and documentation practices.
• Strong written communication skills focused on developer experience and adoption.

Culture & Benefits

• Build open source software used by developers worldwide at the intersection of AI and cloud storage.
• Remote-first culture supporting work-life balance.
• Competitive compensation and benefits.
• Collaborative environment working with experienced engineering, product, and QA teams.