Oak Tree Software is seeking a highly skilled Software Engineer to join their advanced AI Infrastructure team. The role involves building and enhancing tools for the Model Context Protocol (MCP) ecosystem, integrating AI assistants, and maintaining a scalable codebase.
Responsibilities:
- Build and enhance MCP tools for managed servers and open-source MCP Toolbox for Databases
- Integrate and improve tools used by agentic AI assistants (e.g., Gemini CLI, Claude Code)
- Refactor and maintain a high-quality, scalable codebase
- Expand test coverage for asynchronous AI tools and CLI-based systems
- Translate technical concepts into clear documentation & sample code
- Develop a real-world data application to support AI product R&D
Requirements:
- Strong experience with MCP (Model Context Protocol) and LLM integrations
- Solid background in SQL & databases (PostgreSQL, MySQL, BigQuery, NoSQL, etc.)
- Hands-on experience with testing complex AI systems
- Understanding of agentic workflows (AI using tools, managing context, navigating systems)
- Proven ability in code refactoring & maintaining production-grade systems
- Experience in Context Engineering (LLM optimization)
- Contributions to open-source projects
- Knowledge of IAM / OpenTelemetry / observability tools