Remote | Part-Time | Flexible Schedule
Anyone AI is recruiting experienced Python Software Engineers for a series of paid, project-based engagements with a leading AI lab.
You’ll work on clearly scoped software engineering projects involving real-world codebases and development challenges. Projects may include debugging, feature development, refactoring, migrations, testing, and technical review.
This is a strong fit for experienced engineers looking for flexible, remote project work alongside other professional commitments.
What We’re Looking For
2–7 years of professional software engineering experience
Strong proficiency in Python
Professional experience with JavaScript or TypeScript
Working knowledge of at least one additional language such as Java, C#, or Go
Backend or full-stack experience with production systems
Experience with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing
Ability to confidently navigate and debug large, multi-file codebases
Experience with code reviews, refactoring, and production migrations
Advanced professional written proficiency in English
Strong attention to detail and technical problem-solving skills
What You’ll Work On
Depending on the project, you may:
Debug and resolve issues across complex, multi-file codebases
Implement new backend or full-stack functionality
Refactor and migrate existing systems
Develop and extend unit and integration test suites
Write clear technical specifications and reference implementations
Review code and technical submissions for correctness and quality
Identify edge cases, ambiguities, and potential failure modes
Validate that requirements, code, tests, and expected outputs are aligned
Projects are individually scoped, allowing contributors to take on work based on their availability and expertise.
Engagement Details
Work type: Remote
Engagement: Project-based consulting
Commitment: Part-time and flexible
Schedule: Contributors manage their own availability
This is an independent consulting opportunity rather than a traditional full-time position. Contributors are compensated on a per-project basis, with estimated hourly rates based on the expected time required to complete each project.
You can choose projects according to your availability, manage your own schedule, use your own equipment, and continue working with other clients or employers, subject to any applicable contractual restrictions.
What Successful Work Looks Like
Production-quality code and technical solutions
Complete and accurate project deliverables
Robust testing and validation
Clear technical documentation
Thoughtful and actionable code-review feedback
Reliable delivery against the requirements of each project