Careerflow.aiRemote
AI Software Engineer (MCP Development / AI R&D)
United States of America
Full Time
3 hours ago
$50 - $70 USD
Visa Sponsor
Key skills
SQLNoSQLRAILLMClaudeGeminiAgenticBigQueryIAMSpannerPostgreSQLMySQLOpenTelemetry
About this role
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
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)