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Salary
$109k – $194k per year (Estimated)
Location
Remote (Germany)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Jobgether is a Belgian recruitment platform built entirely around remote and flexible work, aggregating openings from thousands of employers that allow work from outside an office. Its matching engine ranks roles against a candidate's skills, seniority and stated preferences on location and flexibility, rather than leaving people to filter a keyword search, and it verifies how genuinely remote each posting is. The company also runs an AI screening layer that shortlists applicants for employers, and publishes research and guidance on distributed work practices alongside the job marketplace itself.

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 Germany.

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.

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