Wissenschaftlicher Mitarbeiter / Research Engineer - Agentic AI (all genders)
Core
Designing and evaluating methods and architectures for agentic and hybrid AI systems, developing robust software components and prototypes for intelligent agents, and transferring research results into real-world application scenarios.
Role type
Research Engineer (Agentic AI)
Builds
Robust software components, prototypes, and demonstrators for intelligent agents integrating LLMs, tool use, and knowledge processing.
Domain
Applied AI research, Agentic AI, Hybrid AI, Large Language Models
Deliverable
production ML models | product features
Required skills
Python programming, data structures, software design principles, version control (Git), LLMs, agentic systems, RAG, tool use, hybrid AI approaches, agentic coding
Preferred skills
Experience in agentic coding with practical project proof, translating complex AI methods into robust and explainable systems
Technologies
Python, Git, Large Language Models, RAG, generative AI models
Responsibilities
Conceive and evaluate new methods and architectures for agentic and hybrid AI systems; Develop robust software components and prototypes for intelligent agents; Research and evaluate current scientific and technological developments; Develop demonstrators for real-world application scenarios; Transfer research results into industrially applicable technologies; Publish results at scientific conferences.
Seniority
Mid-level Researcher (Master's degree required)