Python Developer

Anyone AI Inc.; Comisión de Fomento de Perú; Híbrido; ARS 104.971.000 - 251.931.000; Jornada completa

Descripción de la vacante

Anyone AI is recruiting experienced Python Software Engineers for 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.

This is a strong fit for engineers seeking flexible, remote project work alongside other professional commitments. Projects are independently scoped, allowing contributors to select work based on availability and expertise, with per-project compensation.

Formación

• 2–7 years of professional software engineering experience.
• Strong proficiency in Python.
• Knowledge of at least one additional language (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 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.

Responsabilidades

• 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 outputs are aligned.
• Projects are individually scoped, allowing contributors to take on work based on availability and expertise.

Conocimientos

Python

Java

C#

Go

Backend development

Testing frameworks

pytest

Jest

JUnit

xUnit

Code navigation

Code reviews

English

Detail-oriented

Herramientas

Git

Descripción del empleo

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
• 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

• 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.

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