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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
Must-Have Requirements
Minimum of 4–8 years of software engineering experience
Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
Common Questions
Turing has a reliability rating of very reliable based on the listings we track, with an onboarding time of 5-14 days. See our full Turing review for the details behind that rating.
Applying takes you to Turing's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
Pay varies - Independent contractor engagement through Turing. Apply via the link below - Turing handles vetting, onboarding and payment.
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
