Full-Stack Developer
Pubblicato il 17-10-2026 - Anyone AI in Latina
Anyone AI is recruiting skilled software engineers who also speak Italian, to work on a project with a leading AI Lab. Qualifications: * Advanced professional written proficiency in English * 3–7 years of professional software engineering experience * Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go * 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 Engagement: Tempo parziale, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role.
Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors' allowances). Responsibilities: Contributors will: * 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 Expected Outcomes: * High-quality, production-realistic coding tasks * Complete and correct reference implementations * Robust test coverage and validation artifacts * Structured, actionable peer re