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 does day-to-day life look like?
MCP Tool Development: Implement a variety of MCP tools for both managed MCP servers and the open-source MCP Toolbox for Databases.
Agentic Integration: Expand test coverage and functionality for tools and skills utilized by leading agentic coding assistants (e.g., Gemini CLI, Claude Code, and other IDE-integrated agents).
Code Maintenance & Refactoring: Take ownership of the MCP Toolbox for Databases codebase, focusing on refactoring legacy components and maintaining high-quality test suites.
Technical Documentation: Bridge the gap between engineering and community adoption by converting technical blog posts into functional toolbox sample code and comprehensive documentation.
R&D Support: Build and maintain a realistic, high-fidelity data application using QueryData. Use this environment as a primary testbed to support ongoing Product R&D, with a specific focus on advancing the Context Engineering Agent.
Requirements
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
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)
Perks of Freelancing with our client:
Work in a fully remote environment.
Opportunity to work on cutting-edge AI projects with leading LLM companies.
Potential for contract extension based on performance and project needs.
Offer Details:
Commitments Required : 40 hours per week with overlap of 6 hours with PST
Engagement type : Contractor (no medical/paid leave)
Duration of contract : 6 months with opportunity to extend; [expected start date is 1st week of Jun-2026]
Location: North America and LATAM
Skills Required
- Build and enhance MCP tools for 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
- Experience contributing to open-source projects on GitHub
- Advanced SQL expertise
What We Do
Careerflow.ai is an AI-powered career management platform and 'career copilot' dedicated to helping job seekers land their dream jobs. The company provides a comprehensive end-to-end toolkit featuring an AI resume builder, LinkedIn profile optimizer, and job tracking tools. By streamlining the application process and optimizing professional profiles, Careerflow helps users navigate the competitive job market and get hired at top tech and startup companies faster.
