Python Developer (Mexico)

Anyone AI Inc.; United States; Remote; MXN 758,000 - 1,770,000; Part time

Job summary

Anyone AI Inc. is seeking experienced Python Software Engineers for remote, part-time, project-based engagements with a leading AI lab.

You will work on clearly scoped software projects involving real-world codebases, including debugging, feature development, refactoring, migrations, testing, and technical reviews. This role is ideal for engineers seeking flexible, remote project work alongside other commitments.

Qualifications

• 2-7 years of professional software engineering experience.
• Proficiency in Python and exposure to JavaScript/TypeScript.
• Experience with additional languages such as Java, C#, or Go.
• Backend or full-stack experience with production systems.
• Familiarity with testing frameworks (pytest, Jest, JUnit, xUnit, Go).
• Ability to navigate and debug large multi-file codebases.
• Experience with code reviews, refactoring, and migrations.
• Advanced English written proficiency.
• Strong attention to detail and problem-solving skills.

Responsibilities

• Debug and resolve issues across complex, multi-file codebases.
• Implement new backend or full-stack functionality on projects.
• Refactor and migrate existing systems as needed.
• 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 and potential failure modes.
• Ensure alignment between requirements, code, tests, and outputs.

Skills

Python

JavaScript/TypeScript

Additional language (Java/C#/Go)

Backend or full-stack

Testing frameworks

Debug multi-file codebases

Code reviews/refactoring

English proficiency

Attention to detail

Job description

Remote | Part-Time | Flexible Schedule
Anyone AI is recruiting experienced

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.

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

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.

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