Principal Software Engineer at OrthoFi driving large - scale platform transformation and governing architectural standards. Leading engineering culture while ensuring technical excellence in a dynamic environment.
About the role
- Data & AI Product Engineer responsible for developing data-driven product features for SaaS solutions in operating gastronomy and corporate catering. Collaborating closely with cross-functional teams to translate complex information into actionable insights.
Responsibilities
- Responsibility for Data & AI features from ideation and prototyping through to production integration into our SaaS platform
- Preparation and transformation of data from user events, POS, menu, IoT and CRM systems
- Implementation and integration of LLM APIs (e.g., OpenAI, Anthropic, Mistral) for chatbots, text analysis and automated content generation
- Design and connection of APIs and MCPs
- Development of intelligent recommendation systems for personalized menus, promotions and order forecasts
- Building time series analyses and forecasting models to predict demand, visit frequency and sales trends
- Rapidly testing and iterating new ideas in close collaboration with Product, Design and Backend teams
- Contributing to scalable data infrastructure — from data pipelines and feature stores to model deployment and monitoring
- Working closely with the Product team to translate data-driven insights and AI models into real customer experiences
Requirements
- Completed degree in (Business) Computer Science, Data Science, Machine Learning or a comparable field
- Experience in developing data-driven or AI-powered applications, ideally in a SaaS or product environment
- Strong understanding of data modeling, analytics and machine learning
- Experience building and operating modern data architectures and pipelines, ideally with Microsoft Fabric and AI Foundry
- Practical experience with cloud-based data platforms and production-grade data workflows
- Excellent knowledge of Python and SQL
- Experience with API integrations and basic backend development
- Knowledge of feature engineering, time series forecasting and recommender systems is a plus
- Ideally experience with LLM APIs and modern AI toolchains, including MCP
- Ability to think about technical solutions from a product and user perspective
- Structured, independent working style with high motivation and flexibility
- Enjoys rapidly testing new ideas, iterating and turning them into products
- Very good English skills; German skills are a plus
Benefits
- Flexible working hours & remote work are standard
- Part-time or full-time: we will find the right working model for you
- 28 days of annual leave per year, plus one additional day after two years and another after four years
- 30 days per year of mobile work within European countries
- Free freshly prepared lunch three times a week
- Open work culture, short decision-making paths & agile working methods
- Plenty of scope for initiative with 20% slack time
- Centrally located office with modern facilities, a rooftop terrace and a grill for relaxed after-work gatherings
- Fresh fruit, excellent espresso coffee and probably the best selection of drinks in an office fridge
- Regular team events and outings
- Employer subsidy for the Deutschlandticket, free e-scooter rental, fitness subsidies (Urban Sports Club, JobRad, etc.)
- Company pension plan with employer contributions
- Extensive development & training opportunities and attendance at international conferences
- Friendly and ambitious colleagues who are proud of our shared achievements
Job title
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Degree requirement
Tech skills
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