Responsibilities
- Develop customized AI applications with a focus on generative and agentic AI
- Evaluate model quality in terms of accuracy, robustness, and fairness
- Ensure compliance with ethical and regulatory requirements
- Deliver applications with demanding performance, security, and stability requirements in collaboration with developers and Quality Engineers
- Implement RAG applications and use agentic frameworks
- Support the DevOps team with LLMOps best practices, including prompt monitoring and tracing
- Develop security concepts for LLMs
- Select and architecturally evaluate prebuilt AI systems, taking cost, latency, and scalability into account
- Generate evaluation datasets and implement industry standards in the field of AI
- Screen new AI solutions on the market and assess their potential
Requirements
- Completed degree in Computer Science, Business Informatics, Mathematics, or Physics, together with several years of relevant professional experience, or an equivalent qualification
- Experience leading cross-functional projects or workstreams
- Experience developing AI applications
- Strong Python skills, particularly with GenAI and agentic AI tools such as LlamaIndex and LangChain/LangGraph
- Experience developing container-based and cloud solutions
- Experience working in regulated environments; knowledge of BAIT, DORA, or ISO 27001 is a plus
- Fluent German, at least C1 level
- Good English, B2 level
- Self-motivated, collaborative, and comfortable working in an agile environment
- Enthusiasm for developing AI solutions in interdisciplinary environments and sharing knowledge
Core Competencies
Demonstrates expertise in developing customized AI applications, particularly in generative and agentic AI, while ensuring compliance with ethical standards and regulatory requirements. Proficient in Python and experienced in leading cross-functional projects within agile environments.
Highest-signal resume keywords
- Python Programming
- Generative AI Development
- Agentic AI Tools (LlamaIndex, LangChain)
- Cloud Solutions Development
- Regulatory Compliance (BAIT, DORA, ISO 27001)
Hard Skills
- AI Application Development
- Model Evaluation
- Performance Optimization
- Security Concept Development
- Evaluation Dataset Generation
Soft Skills
- Self-Motivated
- Collaborative
- Agile Environment Adaptability
Industry Keywords
- Ethical Compliance
- Regulated Environments
- Interdisciplinary Collaboration
Tools & Technologies
- LLMOps Best Practices
- Container-Based Solutions
- Prebuilt AI Systems Evaluation