
11 - 50 employees
Founded 2022
📚 Education
🤖 Artificial Intelligence
🎯 Recruiter
💰 $1.5M Pre Seed Round - Anyone AI on 2022-06
Education • Artificial Intelligence • Recruitment
Anyone AI is a Latin America–focused career accelerator and training academy that develops software engineers into AI and machine learning professionals through intensive, remote, mentor-led programs. It combines technical coursework (e. g. , Machine Learning Developer track), professional preparation (resume/LinkedIn optimization, interview coaching, English practice), and a placement-oriented model (income-share payments and access to employer partnerships) to help graduates secure higher-paying AI roles globally. Anyone AI also operates a talent marketplace connecting its community to companies seeking AI talent.
🕒 May 15
🗣️🇷🇺 Russian Required
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11 - 50 employees
Founded 2022
📚 Education
🤖 Artificial Intelligence
🎯 Recruiter
💰 $1.5M Pre Seed Round - Anyone AI on 2022-06
Education • Artificial Intelligence • Recruitment
Anyone AI is a Latin America–focused career accelerator and training academy that develops software engineers into AI and machine learning professionals through intensive, remote, mentor-led programs. It combines technical coursework (e. g. , Machine Learning Developer track), professional preparation (resume/LinkedIn optimization, interview coaching, English practice), and a placement-oriented model (income-share payments and access to employer partnerships) to help graduates secure higher-paying AI roles globally. Anyone AI also operates a talent marketplace connecting its community to companies seeking AI talent.
• 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
• 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
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