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.
Position:
Software Engineer
Type:
Hourly Contract
Compensation:
$40–$50/hour
Location:
Remote Global | Part-time
Role Responsibilities
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Build MCP servers in Python using FastMCP
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Integrate web or desktop applications into AI training environments
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Work with APIs, Docker, Linux systems, and service configurations
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Implement populate and snapshot hooks for application state management
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Test applications locally and debug build, runtime, and permission issues
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Ensure applications meet validation and deployment standards
Qualifications
Must-Have:
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Strong proficiency in Python
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Experience with APIs, backend systems, and debugging
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Familiarity with Docker, Linux, and local development workflows
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Ability to work with configuration files and deployment pipelines
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Strong problem-solving skills and attention to technical detail
Nice-to-Have
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Experience with FastMCP or similar frameworks
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Experience integrating third-party applications or developer tools
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Familiarity with web applications, databases, and containerized environments
Application & Onboarding Process
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Upload resume
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AI interview: A short, 15-minute conversational session to assess background and experience
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Follow-up communication with next steps and onboarding details