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Who this role suits
Working engineers who want flexible, project-based remote work that uses their coding and review skills. A strong portfolio or GitHub helps.
Full job description
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)
Last checked open on Oct 28, 2026. Job description provided by Turing.
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