Key skills
Model Context Protocol (MCP)SQLDatabase enginesPostgreSQLMySQLBigQuerySpannerNoSQLSoftware TestingAgentic AI workflowsCode refactoringOpen-source repository maintenanceRAILLMClaudeGeminiAgenticIAMOpenTelemetry
About this role
Skill is an AI tech company seeking a highly skilled Software Engineer to join their AI Infrastructure team. In this role, you will develop and maintain tools that facilitate the interaction between advanced AI models and enterprise-grade data, focusing on the Model Context Protocol (MCP).
Responsibilities:
- MCP Tool Development: Implement a variety of MCP tools for both managed MCP servers and the open-source MCP Toolbox for Databases
- Agentic Integration: 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)
- Code Maintenance & Refactoring: Take ownership of the MCP Toolbox for Databases codebase, focusing on refactoring legacy components and maintaining high-quality test suites
- Technical Documentation: Bridge the gap between engineering and community adoption by converting technical blog posts into functional toolbox sample code and comprehensive documentation
- R&D Support: 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
Requirements:
- Deep understanding of the Model Context Protocol (MCP) and its application in connecting LLMs to external data sources
- Strong proficiency in SQL and experience working with a variety of database engines (e.g., PostgreSQL, MySQL, BigQuery, Spanner, or NoSQL solutions)
- Proven experience in expanding test coverage for complex, asynchronous AI tools and CLI-based assistants
- Familiarity with 'Agentic' workflows, including how AI models use tools, manage context, and navigate file systems/databases
- Strong background in refactoring code for scalability and maintaining open-source repositories
- Experience with Context Engineering (optimizing token utility and state management for LLM inference)
- Active contributor to open-source projects or developer advocacy experience
- Familiarity with Cloud Identity and Access Management (IAM) and observability frameworks (OpenTelemetry)