Agentic AI Software Engineer

You will build and improve software that supports agentic AI systems, including MCP tools for proprietary and open-source environments. The role combines production development, testing, debugging, technical documentation, and practical work on AI-powered data systems.

• Build and enhance MCP tools for proprietary and open-source environments.
• Expand test coverage for AI coding assistants.
• Refactor, maintain, and improve test frameworks and existing codebases.
• Turn technical blog content into production-ready sample code and documentation.
• Develop real-world data applications using tools such as Query Data.
• Work with cross-functional teams to support adoption of agentic AI capabilities.

The listing does not include a pay rate. The role is marked as entry level and is structured as part-time contract work.

• Location:
  
  Open worldwide.
• Time: 20 or more hours per week.
• Language:
  Professional fluency in English.
• Technical skills:
  Strong proficiency in Python or Go, with both preferred.
• Required knowledge:
  Intermediate or stronger SQL skills.
• Useful experience:
  Large-scale software engineering environments, agentic AI systems, and AI coding assistants.
• Core abilities:
  Strong coding, testing, debugging, technical writing, and documentation.
• Helpful additions:
  Open-source contributions on Git Hub and advanced SQL expertise.

AI training is the human work behind systems that learn from examples, including software, text, images, and other data. Open Train helps people find and build careers in this field by bringing projects together in one place and helping contributors build a lasting portfolio.