Software Engineer

About The Role

This role focuses on building and deploying applications within advanced AI training environments. Work involves integrating real-world software into sandbox systems, ensuring stability, scalability, and production readiness across use cases.

Role Responsibilities

• Build MCP servers in Python using FastMCP
• Integrate web or desktop applications into AI training environments
• Work with APIs, Docker, Linux systems, and service configurations
• Implement populate and snapshot hooks for application state management
• Test applications locally and debug build, runtime, and permission issues
• Ensure applications meet validation and deployment standards

Qualifications

Must-Have:

• Strong proficiency in Python
• Experience with APIs, backend systems, and debugging
• Familiarity with Docker, Linux, and local development workflows
• Ability to work with configuration files and deployment pipelines
• Strong problem-solving skills and attention to technical detail

Nice-to-Have

• Experience with FastMCP or similar frameworks
• Experience integrating third-party applications or developer tools
• Familiarity with web applications, databases, and containerized environments

Application & Onboarding Process

• Upload resume
• AI interview: A short, 15-minute conversational session to assess background and experience
• Follow-up communication with next steps and onboarding details