Applied AI Engineer (m/w/d)
HybridMunich, Bavaria, Germany or Munich, North Dakota, United States
Job Summary
Design and build scalable, production-ready AI automation frameworks and agentic workflows that integrate seamlessly into SIXT's technology ecosystem. Translate complex business challenges into technical solutions by selecting and implementing effective approaches across agentic architectures, MCP integrations, predictive models, and neural networks. Take ownership of the full product lifecycle, from solution design and API development to containerization and deploying scalable applications in partnership with Software Engineering teams. Collaborate directly with senior stakeholders to translate strategic priorities into scalable technical architectures and impactful data products. Continuously optimize and evolve AI systems to ensure technical excellence and scalable performance across global operations. Contribute to the tech stack, challenge existing approaches, and share knowledge across teams.
Required Qualifications
- Master's degree in a STEM field
- hands on experience in AI Engineering, Data Science or Software Engineering within fast paced and technology driven environments
- strong foundation in modern GenAI frameworks and agentic patterns such as LangChain and MCP
- practical experience in Deep Learning frameworks like PyTorch
- practical experience in classical ML libraries such as scikit learn and XGBoost
- clean and scalable Python code
- experience with API development such as FastAPI
- experience with modern development environments including Git, Docker and cloud platforms
- communicate fluently in English
Desired Qualifications
- German is considered a plus
- experience with heuristics
- experience with machine learning models
- experience with complex neural networks
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