MCP Tools Engineer (Agentic AI in Python or Go)
About the role
We are looking for Software Engineers to work with a leading Frontier LLM Lab to help accelerate their Agentic Data Cloud roadmap by building and scaling tools for next generation AI powered data systems. You will work on developing MCP tools, improving AI assisted developer workflows, and expanding platform capabilities across the Data Cloud ecosystem.
What you'll do
- Build and enhance MCP tools for both proprietary and open source environments
- Expand test coverage for tools used by AI coding assistants (e.g., Gemini CLI, Claude Code)
- Refactor, maintain, and improve existing test frameworks and codebases
- Convert technical blogs into production ready sample code and documentation
- Develop real world data applications (e.g., using QueryData) to support product R&D and experimentation
- Collaborate with cross functional teams to accelerate adoption of agentic AI capabilities
Requirements
- Minimum of 4 to 8 years of software engineering experience
- Strong proficiency in Python or Go (ideally both)
- Solid experience with SQL (intermediate minimum)
- Prior experience working in Google3 / Google engineering environments
- Experience building or contributing to agentic AI systems
- Hands on experience with AI coding tools (e.g., Claude Code, Gemini CLI)
- Strong coding, testing, and debugging skills
- Good technical writing and documentation skills
- Experience contributing to open source projects on GitHub (at least some team members expected)
- Advanced SQL expertise (preferred for some team members)
About Turing
Turing is an AI company based in San Francisco that works with the world's leading AI labs to make their models better at reasoning, coding, languages and more. It also helps businesses build real AI systems, and it works with talent from over 100 countries.
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