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Anyone AI

Full-Stack Developer

Anyone AI

Software Engineer designing and implementing coding tasks for AI Lab projects. Engaging in debugging, feature development, and evaluation of software engineering tasks remotely.

Posted 5/4/2026contractRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
GoJavaJavaScriptJestJUnitPythonTypeScript

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation.
  • Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances).

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonJavaScriptTypeScriptJavaC#Gounit testingintegration testingdebuggingrefactoring
Soft Skills
professional written proficiencyclarityattention to detailproblem-solvingpeer review