First seen by our source: 23 days ago
AI Software Engineer (MCP Development / AI R&D)
@ Careerflow.ai
Remote in Canada
Overview
Careerflow.ai is hiring a contract AI Software Engineer to work with a leading frontier LLM lab on its Agentic Data Cloud roadmap. The role builds and maintains MCP tools, improves AI-assisted developer workflows, and supports product R&D on a high-fidelity data application. Contract is 40 hours per week, 6 months with possible extension, fully remote, with a 6-hour overlap with PST.
Responsibilities:
- Build and enhance MCP tools for managed and open-source environments
- Expand test coverage for tools used by AI coding assistants
- Refactor and maintain the MCP Toolbox for Databases codebase
- Convert technical blogs into production-ready sample code and documentation
- Develop data applications with QueryData to support R&D
Requirements summary:
- Experience building and enhancing MCP tools
- Experience expanding test coverage and maintaining test frameworks
- Ability to convert technical blogs into production-ready code and documentation
- Experience developing real-world data applications
- Nice to have: GitHub open-source contributions and advanced SQL expertise
Tools & skills
Source and dates
Source type not verified · dover
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Hours per week | 40 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Careerflow.ai
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Introducing an AI Career Copilot
Full company description
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
- LinkedIn followers
- 190,989
- People associated on LinkedIn
- 64
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Human Resources
- Consumer Software
- Employment
- Recruiting
- Artificial Intelligence (AI)
- Other recorded names
- Careerflow.ai
- Profile identifies a recruitment agency
- No
- Reported total investment
- 800,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Landing your dream job just got easier. Simplify your career with our all-in-one career copilot platform.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 11-50 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2022 |
| Open jobs on Jobsy | 10 |
| View page |
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
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