Position: Software Engineer – Agentic AI / Data Cloud
Type: Contract (6 months)
Location: Remote
Commitment: 40 hrs/week with 6 hours overlap with PST
Compensation: $50–$55 per hour
Role Responsibilities
- Develop and enhance MCP tools for AI systems and data cloud environments
- Build backend tools using Python or Go for agentic AI and developer workflows
- Work with SQL and database systems to build and manage data-driven solutions
- Improve integrations and workflows for AI coding assistants and agentic developer tools
- Refactor and optimize existing systems for scalability, maintainability, and performance
- Expand testing coverage for AI-driven tools, asynchronous systems, and backend workflows
- Build APIs, CLI tools, automation workflows, and developer-focused tooling
- Convert technical concepts, blogs, and prototypes into production-ready code samples and documentation
- Develop real-world data applications to support experimentation, product R&D, and Data Cloud initiatives
- Collaborate with cross-functional engineering teams to improve AI-integrated systems
Requirements
- Background in Computer Science, Engineering, or related field
- Strong software engineering experience
- Strong proficiency in Python or Go, ideally both
- Solid experience with SQL and database systems
- Prior experience working in Google3 or Google engineering environments
- Experience building or contributing to agentic AI systems and AI-assisted workflows
- Hands-on experience with AI coding tools such as Claude Code, Gemini CLI, or similar tools
- Strong coding, debugging, testing, and software design skills
- Experience maintaining and refactoring scalable production codebases
- Familiarity with asynchronous systems, developer tooling, APIs, and backend integrations
- Ability to write clear technical documentation and developer-focused examples
- Good analytical, problem-solving, and system design skills
- Strong written and verbal communication skills
- Ability to work independently in a remote contract setup