Contributing to a wide range of AI-related projects, which span from LLM use cases to computer vision, full-stack chatbot development, and Machine Learning Operations (MLOps)
Supporting research and product development involving AI components, such as Retrieval-Augmented Generation (RAG) or agentic AI
Engaging in discussions to identify and analyze use cases, both internally and externally, and architecting tailored solutions aligned with business requirements
Closely collaborating with the AI Strategy department to ensure successful implementation of AI-driven projects

Hands-on AI and Machine Learning Experience
Practical mentality with proven experience leveraging various AI/ML models
Ability to implement business-driven Generative AI solutions using frameworks like LangChain, Haystack, or LlamaIndex and software development methodologies
Interest or knowledge in classical Machine Learning/Deep Learning techniques (advantageous but not required)
Experience with LLM/AI Agent evaluation, guardrailing, or trustworthy AI
Ability to independently create and deploy AI-driven applications, including backend code
Proficient in Python; familiarity with JavaScript, TypeScript, R, or Java is beneficial
Proficient with containerization and deployment strategies (Docker)
Experience building and consuming REST APIs
Understanding of cloud deployment and cloud-native services
Knowledge of data transformation, cleaning, preparation, and model selection
Preferred: Understanding of how to evaluate large datasets
Preferred: Skills in data structuring and storage modeling
This role requires German language skills at C1 level and fluency in English
Effective communicator capable of articulating technical concepts clearly
Confident in representing the company professionally in client interactions
Team-oriented mindset, open to collaboration and constructive feedback

Competitive salary with performance-based boni and annual review of package
Opportunity to grow and develop your (technical) expertise, with all relevant training & certification costs being covered
A truly flexible working environment with “remote first” policy, opportunities for part-time work and sabbatical, and family-friendly tailormade solutions that fit all
30 days annual leave per year + a gym-card (Wellpass) subscription, subsidized by the company

Senior Applied AI/ML Engineer

Key skills