Senior Software Engineer (Token Factory)

Jobgether; Netherlands; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Career growth

Flexible work

Impactful AI projects

Innovative culture

International team

Distributed systems challenges

Challenging work

Fast-moving environment

Job summary

Jobgether is seeking a Senior Software Engineer (Token Factory) based in the Netherlands to join an AI-focused R&D team building infrastructure for next-generation LLMs. You will design and develop large-scale platforms that support LLM training and demanding AI workloads.

You will tackle complex distributed-systems challenges, including intelligent job scheduling and resource optimization, with an ownership mindset in a fast-moving, globally distributed environment.

Qualifications

• 5+ years of professional software development experience.
• Strong Python and/or Go programming skills.
• Solid CI/CD, version control, automated testing and unit testing practices.
• Experience building and operating web services and backend systems.
• Strong understanding of distributed systems, scalability and reliability.
• Proven ability to work independently with cross-functional teams.
• Experience in fast-paced or startup-like environments is valued.
• Experience with language models, NLP, or AI is a plus.
• Track record delivering products from concept to production.
• Open-source projects or other technical work are welcome.

Responsibilities

• Design, develop, and improve platforms for large-scale LLM training and AI workloads.
• Build robust distributed systems for demanding computational needs.
• Maintain ML infrastructure for high performance, scalability, reliability.
• Improve job scheduling to maximize resource utilization.
• Develop and maintain backend services supporting AI workloads.
• Apply robust software engineering practices across lifecycle.
• Identify and solve performance and reliability challenges.
• Collaborate with researchers to translate AI requirements into production systems.
• Own technical decisions with rigor across design, development, testing, and ops.

Skills

5+ years software development

Python

Go

CI/CD

version control

automated testing

web services

distributed systems

ownership mindset

NLP/AI familiarity

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 Netherlands.

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 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.