GFN
GFN
201 – 500 Employees
eCommerceFintechSaaS
GFN is a financial technology company offering payment and financial tools for businesses. Its platform supports online and in-person payments, subscription and revenue management, automated billing, and embedded financial services. GFN serves e-commerce, SaaS, and marketplace businesses with payment processing and financial automation designed for different operating needs.

Senior Software Engineer, Machine Learning

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Description

  • Shape product development plans with the Product Owner.
  • Work with colleagues to advance the platform.
  • Lead the platform’s technical development and expansion.
  • Assess technical requests for enhancements and implement them in the software.
  • Coordinate with the teams and stakeholders needed to operate the software.
  • Build and maintain the technology stack.
  • Develop education-focused applications, emphasizing backend engineering, infrastructure, and reliable software architecture.
  • Apply machine learning, large language models, and data-driven features in practical ways that address user needs.

Requirements

  • At least five years of professional software development experience.
  • Experience with multiple production applications or platforms is preferred.
  • Experience with LLM-based product features, prompt design, retrieval systems, or multi-step AI workflows is a plus.
  • Software development experience predating the current generative AI boom.
  • Advanced Python skills.
  • Backend development experience with Ruby on Rails, Django, FastAPI, or a comparable framework.
  • Experience with Docker, Kubernetes, CI/CD, Terraform, AWS, or Azure.
  • Practical experience building machine learning, NLP, or data-driven applications, such as classification, RAG, embeddings, pipelines, or model integrations.
  • Experience in complex specialist fields such as education, instructional design, knowledge management, healthcare, data platforms, or regulated environments is desirable.
  • Work independently and systematically, with a strong commitment to quality.
  • Learn quickly and communicate confidently with teams and specialist departments.
  • Experience in technical leadership, mentoring, architecture decisions, or close work with Product Owners and stakeholders.
  • Excellent German and English language skills.

Benefits

  • Remote work from anywhere in Germany.
  • Flexible working hours.
  • Six weeks of annual vacation.
  • Employee discounts from a range of providers.
  • Internal and external professional development, including a fixed annual training budget.
  • Company bicycle leasing through JobRad.
  • Wellpass fitness and wellness membership.
  • Subsidy for the Deutschland-Ticket.
  • Subsidy for prescription computer glasses.
  • Group accident insurance.
  • A respectful, inclusive workplace free from bias.
  • A diverse team at GFN.

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