Remote Backend Engineer — Project-Based Consultant

Anyone AI Inc.; México; Teletrabalho; MXN 1 026 000 - 2 181 000; Tempo parcial

Resumo da oferta

Anyone AI Inc. is seeking a part-time, remote consultant to design and evaluate realistic software engineering tasks. You will create multi-file coding scenarios, bug fixes, feature implementations, refactoring, and tests, and review peer submissions for quality and accuracy.

You control your schedule, provide your own tools, and may work for other clients. Expect high-quality reference implementations and robust test artifacts.

Qualificações

• 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 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 outputs.

Conhecimentos

English proficiency

Software engineering

Backend / full-stack

Testing frameworks

Debug multi-file codebases

Code reviews & migrations

Descrição da oferta de emprego

Anyone AI Inc. is seeking a part-time, remote consultant to design and evaluate realistic software engineering tasks. You will create multi-file coding scenarios, bug fixes, feature implementations, refactoring, and tests, and review peer submissions for quality and accuracy.

You control your schedule, provide your own tools, and may work for other clients. Expect high-quality reference implementations and robust test artifacts.