Experienced Software Engineer, ML Engineer

• Discuss the next steps in product development with the Product Owner
• Work with colleagues to drive the continued development of the platform
• Take responsibility for the platform’s technical development and expansion
• Technically assess requests for further development and implement them in the software
• Collaborate professionally with all teams and stakeholders required for software operations
• Take responsibility for building the technology stack
• Develop product-oriented applications in the education sector, focusing on backend development, infrastructure, and robust software architecture
• Apply machine learning, LLMs, and data-driven functionality pragmatically and with a strong focus on user needs

• At least 5 years of professional experience in software development
• Experience with multiple applications or platforms used in production, ideally
• Experience with LLM-based product features, prompting, retrieval systems, or multi-step AI workflows is a plus
• Software development experience from before the current GenAI boom
• Very strong Python skills
• Solid experience in backend development, for example with Ruby on Rails, Django, FastAPI, or comparable frameworks
• Experience with Docker, Kubernetes, CI/CD, Terraform, AWS, or Azure
• Demonstrable hands-on experience implementing ML, NLP, or data-driven applications, such as classification, RAG, embeddings, pipelines, or model integration
• Experience in complex specialist domains such as education, instructional design, knowledge management, healthcare, data platforms, or regulated environments is desirable
• Independent, structured way of working with a strong commitment to quality
• Fast learner with confident communication skills when working with both teams and specialist departments
• Experience in technical leadership, mentoring, architectural decision-making, or close collaboration with Product Owners and stakeholders
• Excellent German and English language skills

• Remote work from anywhere in Germany
• Flexible working hours
• 6 weeks of vacation per year
• Employee discounts: attractive discounts from various providers
• Internal and external professional development opportunities, including a fixed annual training budget
• Company bicycle leasing program (JobRad)
• Wellpass fitness and wellness membership
• Subsidy for the Deutschland-Ticket
• Subsidy for prescription computer glasses
• Group accident insurance
• Respectful, inclusive workplace free from bias
• A diverse GFN team