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Key Responsibilities:

  • Contribute expert-level knowledge to bug fixing, feature implementation, codebase refactoring, and performance optimization across a range of programming languages.
  • Analyze and enhance software codebases to ensure clarity, maintainability, and efficiency.
  • Collaborate with multidisciplinary teams to provide feedback and insights for AI model improvement.

Required Skills and Qualifications:

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a plus.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.

Preferred Qualifications:

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus.
  • Background in participating in rigorous code reviews and contributing to software best practices.

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Our client is a rapidly growing, venture-backed AI company that helps shape the next generation of intelligent systems by combining world-class human expertise with machine learning workflows. Backed by over $40 million in funding, the company works with a rapidly expanding international network of experts to build critical human intelligence infrastructure for the AI economy.

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