Remote Backend Engineer (Contract) – Testing & Refactoring

Anyone AI Inc.; Chile; A distancia; CLP 38.573.000 - 57.859.000; A tiempo parcial

Descripción de la vacante

Anyone AI Inc. in Chile is seeking a part-time, project-based software engineering consultant to design and evaluate realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

Contributors will write clear specifications and reference implementations, develop unit and integration tests, review peer submissions for quality, and identify edge cases and potential failure modes, all under a remote, flexible engagement model.

Formación

• Advanced professional written proficiency in English.
• 3–7 years of professional software engineering experience.
• Backend or full‑stack development experience in production systems.
• Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing).
• Proven ability to debug and navigate large, multi‑file codebases.
• Experience with code reviews, refactoring, and production migrations.

Responsabilidades

• Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing.
• Write clear natural-language specifications and reference implementations.
• Develop and extend unit and integration test suites.
• Review peer‑generated tasks for correctness, clarity, and realism.
• Identify edge cases, ambiguities, and potential failure modes.
• Ensure alignment between specifications, code, and expected outputs.

Conocimientos

English proficiency

Software engineering experience

Testing frameworks

Debugging multi-file codebases

Herramientas

pytest

Jest

JUnit

Go testing

Descripción del empleo

Anyone AI Inc. in Chile is seeking a part-time, project-based software engineering consultant to design and evaluate realistic coding tasks, including bug fixes, feature implementation, refactoring, and test generation.

Contributors will write clear specifications and reference implementations, develop unit and integration tests, review peer submissions for quality, and identify edge cases and potential failure modes, all under a remote, flexible engagement model.