Senior Software Engineer (Token Factory)

Jobgether; España; On-site; PHP 5,072,000 - 6,522,000; Full time

Benefits offered by this job

Competitive pay

Career growth

Flexible work

Global teams

AI projects

Job summary

Partner Company in Spain is seeking a Senior Software Engineer (Token Factory) to join an AI-focused R&D team. You will design and build large-scale platforms that support LLM training and demanding AI workloads, delivering reliable services and efficient infrastructure.

The role emphasizes ownership, rigorous software engineering, and collaboration with international researchers and engineers to translate AI requirements into production-ready systems.

Qualifications

• 5+ years of professional software development experience.
• Strong Python and/or Go expertise.
• Experience in building and operating web services and backend systems.
• Familiarity with distributed systems, scalability and reliability.

Responsibilities

• Design, develop, and improve platforms for large-scale LLM training and AI workloads.
• Build robust distributed systems handling demanding computations at scale.
• Maintain ML infrastructure for performance, scalability, and reliability.
• Improve job scheduling to maximize infrastructure utilization.
• Deliver production-ready backend services with strong engineering practices.

Skills

Python/Go

Distributed systems

Web services

CI/CD

High-load environments

Tools

CI/CD tools

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Token Factory) based in Spain.

Join an AI-focused R&D team building infrastructure for the next generation of large language models.
You’ll design and develop large-scale platforms that support LLM training and demanding AI workloads.
Your work will directly contribute to improving the performance, scalability, reliability, and efficiency of ML infrastructure.
You’ll tackle complex distributed-systems challenges, including intelligent job scheduling and resource optimization.
The environment is highly technical, fast-moving, and designed for engineers who enjoy solving difficult problems with real-world impact.
You’ll collaborate with talented international teams working at the intersection of applied research, software engineering, and AI.
This is an opportunity to take meaningful ownership while helping shape the infrastructure behind the future of AI.

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 withPython 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.