Senior Software Engineer (Token Factory)

Accountabilities

• • Design, develop, and continuously improve platforms supporting large-scale LLM training and AI workloads.

  • Build robust distributed systems capable of handling demanding computational requirements at scale.

  • Maintain and optimize ML infrastructure to ensure high performance, scalability, reliability, and operational efficiency.

  • Improve job scheduling strategies to reduce resource fragmentation and maximize infrastructure utilization.

  • Develop and maintain reliable web services and backend components supporting AI and ML workloads.

  • Apply strong software engineering practices throughout the development lifecycle, including testing, version control, CI/CD, and maintainable architecture.

  • Identify performance, scalability, and reliability challenges and implement effective technical solutions.

  • Collaborate with researchers and engineers to translate complex AI infrastructure requirements into production-ready systems.

  • Take ownership of technical decisions and maintain a high level of rigor across design, development, testing, and operations.

  Requirements

  • 5+ years of professional software development experience with a strong track record of delivering production-quality systems.

  • Strong software engineering expertise, particularly with Python and/or Go.

  • Solid understanding of contemporary software development practices, including CI/CD, version control, automated testing, and unit testing.

  • Experience developing and operating web services and backend systems.

  • Strong understanding of distributed systems, scalability, reliability, and high-load environments.

  • Demonstrated ability to work rigorously and methodically on complex technical challenges.

  • Strong ownership mindset, with the ability to work independently while collaborating effectively with multidisciplinary teams.

  • Experience working in dynamic, fast-paced, or startup-like environments is highly valued.

  • Previous experience with language models, NLP, or related AI technologies is a strong advantage.

  • A track record of building and delivering products from concept through production is a plus.

  • Open-source projects or other technical work demonstrating strong engineering capabilities are welcome.

  Benefits

  • Competitive compensation package.

  • Career growth and continuous learning opportunities.

  • Flexibility and significant ownership over your work.

  • Opportunity to work on impactful, cutting-edge AI projects.

  • Collaborative and innovative engineering culture.

  • International environment with highly skilled and diverse teams.

  • Opportunity to work on complex distributed systems and large-scale AI infrastructure.

  • Meaningful technical challenges and the chance to contribute to the future of AI.

  • A fast-moving environment built around bold thinking, constant growth, trust, and real ownership.