Software Engineer (Python/TypeScript)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer (Python/TypeScript): Designing and evaluating production-realistic coding tasks for a leading AI Lab with an accent on backend and full-stack development, testing, and code quality. Focus on implementing multi-file bug fixes and features, building reference solutions and test suites, and identifying edge cases across complex codebases.
Location: Remote from Italy
Compensation: $25–$50 per hour, estimated at approximately $4,000–$8,000 per month
Company
connects software engineering experts with projects supporting leading AI research and development organizations.
What you will do
- Design and implement multi-file tasks covering bug fixing, feature development, refactoring, migration, and testing.
- Write clear specifications and complete reference implementations.
- Develop and extend unit and integration test suites.
- Review peer-generated tasks for correctness, clarity, realism, and technical accuracy.
- Identify edge cases, ambiguities, and potential failure modes.
- Ensure alignment between specifications, code, tests, and expected outputs.
Requirements
- Italian language proficiency is required.
- Advanced professional written English proficiency is required.
- 3–7 years of professional software engineering experience.
- Strong proficiency in Python and JavaScript or TypeScript, with working knowledge of Java, C#, or Go.
- Production experience in backend or full-stack development and with testing frameworks such as pytest, Jest, JUnit, xUnit, or Go testing.
- Ability to debug and navigate large codebases, conduct code reviews, refactor systems, and perform production migrations.
Culture & Benefits
- Remote, part-time, project-based consultant engagement.
- Flexible scheduling with control over working hours.
- Consultants provide their own tools and may work with other vendors or employers where permitted.
- Payment is made on a per-project basis, with hourly rates provided as estimates based on anticipated completion time.
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