Build and enhance tools for AI-powered data systems using Python or Go. 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.
About the role
Build and enhance tools for AI-powered data systems using Python or Go. 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.
Key Responsibilities
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
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
Nice-to-Have
Experience contributing to open-source projects on GitHub (at least some team members expected)
Advanced SQL expertise (preferred for some team members)
Offer details
Commitments required: 40 hours per week with overlap with PST
Engagement type: Contractor
Duration of contract: 6 months (expected start date is 1st week of Jun, 2026)
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