Anwendungsentwickler (m/w/d)
Core
Designing and building production-ready multi-agent AI systems (Agentic AI, RAG, orchestration) to make healthcare smarter for one million people.
Role type
Senior AI Application Engineer (Agentic AI & RAG)
Builds
Multi-agent systems, RAG pipelines, and end-to-end AI applications integrated into existing IT landscapes.
Domain
Healthcare / Artificial Intelligence
Deliverable
production ML models
Required skills
Multi-agent system design, RAG pipeline architecture, LLM fine-tuning, Tool-Calling, Prompt Engineering, Guardrails implementation, Cost management, Technical leadership
Preferred skills
Open Source & commercial LLM experience, Cloud & local deployment, Observability frameworks
Technologies
Open Source LLMs, Commercial LLMs, Cloud platforms, Local deployment environments
Responsibilities
Conceive and build complete multi-agent systems with tool-calling and orchestration; Create high-performance RAG pipelines and optimize retrieval quality; Develop infrastructure for reasoning loops and context management; Establish reproducible prompt engineering and evaluation frameworks; Implement guardrails for data security and prompt injection prevention; Plan fallbacks and redundancies for 24/7 operation; Define technical standards and translate requirements into code.
Seniority
Senior, hands-on IC