Senior Software Engineer remote

ESRhealthcare and EXEC STAFF RECRUITERSSan Diego, CA
Remote

About The Position

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in Python3, Java, Rust, Go, C++, or TypeScript. This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Requirements

  • Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset.
  • Deep understanding of algorithms, data structures, and performance tuning.
  • Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
  • Strong background in feature development and codebase refactoring.
  • Proven ability to optimize software for performance and scalability.
  • Exceptional written and verbal communication skills, with a keen attention to detail.
  • Track record of success in collaborative, cross-functional teams, ideally in remote settings.

Nice To Haves

  • Previous experience working on large-scale, distributed codebases.
  • Familiarity with modern AI or machine learning systems is a plus, though not required.
  • Background in participating in rigorous code reviews and contributing to the development of software best practices.

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.
  • Develop robust solutions and document best practices to support scalable AI training workflows.
  • Evaluate existing system architecture and recommend technical strategies for optimal results.
  • Deliver clear, concise written and verbal communication regarding technical findings and project progress.
  • Support the continuous improvement of AI systems by providing real-world coding expertise in challenging scenarios.
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