Careerflow.ai is seeking a highly skilled Software Engineer to join their AI Infrastructure team, focusing on the Model Context Protocol (MCP) movement. The role involves developing tools for AI models, maintaining databases, and supporting product research and development.
Responsibilities:
- Implement a variety of MCP tools for both managed MCP servers and the open-source MCP Toolbox for Databases
- Expand test coverage and functionality for tools and skills utilized by leading agentic coding assistants (e.g., Gemini CLI, Claude Code, and other IDE-integrated agents)
- Take ownership of the MCP Toolbox for Databases codebase, focusing on refactoring legacy components and maintaining high-quality test suites
- Bridge the gap between engineering and community adoption by converting technical blog posts into functional toolbox sample code and comprehensive documentation
- Build and maintain a realistic, high-fidelity data application using QueryData. Use this environment as a primary testbed to support ongoing Product R&D, with a specific focus on advancing the Context Engineering Agent