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Software Engineer – Agentic AI / Data Cloud (Python/Go)

Turing

You will work on developing MCP tools, improving AI-assisted developer workflows, and expanding platform capabilities across the Data Cloud ecosystem.

Work arrangement & location
Remote

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Hours
40 hours per week

Employer description and requirements

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)