Python Developer - Remote in Brazil

Anyone AI Inc.; Brasil; Teletrabalho; BRL 41 000 - 83 000; Tempo parcial

Resumo da oferta

Anyone AI Inc. is seeking experienced Python Software Engineers for paid, project-based engagements with a leading AI lab. You’ll work on clearly scoped projects involving real-world codebases and development challenges, including debugging, feature development, refactoring, migrations, testing, and technical review.

This role is a flexible, remote project opportunity suited for engineers balancing other commitments, offering per-project compensation and hourly rates based on time required.

Qualificações

• 2-7 years of professional software engineering experience.
• Strong proficiency in Python.
• Working knowledge of 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.

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 and potential failure modes.
• Validate that requirements, code, tests, and outputs are aligned.
• Projects are individually scoped and remote, part-time by design.

Conhecimentos

Experience 2-7 yrs

Python

Java

C#

Go

Backend/Full-stack

Testing frameworks

Code navigation (multi-file)

Code reviews

Refactoring

Migrations

English

Ferramentas

pytest

Jest

JUnit

xUnit

Go testing

Descrição da oferta de emprego

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

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.

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