Masterarbeit/Werkstudent - Agentic AI & Multi-Agenten-Systeme (m/w/d)
Core
Building an agentic AI system to support different business areas and improve team collaboration by designing multi-agent architectures, configuring agents, and implementing agentic coding functions.
Role type
Master's thesis or part-time student (Werkstudent) in Agentic AI & Multi-Agent Systems
Builds
An agentic AI system with multi-agent workflows, agent configuration, and agentic coding capabilities
Domain
Artificial Intelligence, Multi-Agent Systems, Software Engineering
Deliverable
production ML models
Required skills
Python, TypeScript, Git, REST APIs, LLM APIs, Prompt Engineering, Multi-Agent Frameworks (MCP, LangGraph, CrewAI, AutoGen), Agentic Coding Tools (Cursor, Cline, Claude Code), Software Security
Preferred skills
Change Management, Knowledge Transfer, Token Optimization, Context Management, Caching, Model Selection
Technologies
Python, TypeScript, Git, REST APIs, MCP, LangGraph, CrewAI, AutoGen, Cursor, Cline, Claude Code
Responsibilities
Designing multi-agent architectures for task distribution and context sharing, Configuring agents via structured Markdown files, Developing extensions and integrating internal/external systems via API-Key, Building agentic coding functions for code planning, writing, testing, and review, Creating security and coding guidelines, Measuring and reducing token consumption and costs, Developing concepts for knowledge transfer and rollout
Seniority
Student (Master's thesis or part-time)
