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.

• 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.

• 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.

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