Software Engineer - AI Infrastructure at Turing

Software Engineer – AI Infrastructure | Contractor (40 hrs/week) | Remote – North America & LATAM

Join Turing's AI Infrastructure team and work at the cutting edge of the Model Context Protocol (MCP) movement. You'll build the connective layer between advanced AI models and enterprise-grade data systems, developing tools that empower agentic coding assistants to interact seamlessly with complex database environments.

What You'll Do

• MCP Tool Development: Implement a variety of MCP tools for managed MCP servers and the open-source MCP Toolbox for Databases.
• Agentic Integration: Expand test coverage and functionality for tools used by leading agentic coding assistants such as Gemini CLI, Claude Code, and other IDE-integrated agents.
• Code Maintenance & Refactoring: Take ownership of the MCP Toolbox codebase — refactor legacy components and maintain high-quality test suites.
• Technical Documentation: Convert technical blog posts into functional sample code and comprehensive documentation to support community adoption.
• R&D Support: Build and maintain a high-fidelity data application using QueryData as a testbed for Product R&D, with a focus on advancing the Context Engineering Agent.

Requirements

• Deep understanding of the Model Context Protocol (MCP) and its role in connecting LLMs to external data sources.
• Strong proficiency in SQL and experience with database engines such as PostgreSQL, MySQL, BigQuery, Spanner, or NoSQL solutions.
• Proven experience expanding test coverage for complex, asynchronous AI tools and CLI-based assistants.
• Familiarity with agentic AI workflows — including tool use, context management, and file system/database navigation.
• Strong background in refactoring code for scalability and maintaining open-source repositories.

Nice to Have

• Experience with Context Engineering — optimizing token utility and state management for LLM inference.
• Active open-source contributor or developer advocacy background.
• Familiarity with Cloud IAM and observability frameworks like OpenTelemetry.

Engagement Details

• Type: Contractor (no medical/paid leave benefits)
• Hours: 40 hours/week with 6-hour overlap with PST
• Duration: 6 months, starting the first week of June 2026
• Location: North America and LATAM

This is a fully remote opportunity to work on cutting-edge AI infrastructure projects with leading LLM companies, with potential for contract extension based on performance.