Mandatory Internship in Agentic AI Harness, Generative AI & Agentic Workflows

Dive into the world of Agentic AI and Generative AI, explore the potential of LLMs and turn your ideas into innovative AI solutions with us.

• During your assignment, you will support the design and development of an agentic harness to orchestrate LLM-based agents, tools and function calling.
• You will build and improve agentic workflows for internal use cases, including planning, tool use, memory and multi-agent coordination.
• Additionally, you will integrate and evaluate Generative AI / LLM models and prompt strategies, including prompt engineering and guardrails.
• To measure agent quality, reliability and performance, you will develop evaluation and benchmarking pipelines.
• As part of your work, you will prototype proof-of-concepts and contribute to Python-based tooling, APIs and automation.
• Finally, you will document results and present your findings to the team.

• Education: studies in the field of Computer Science, Data Science, AI/Machine Learning, Software Engineering, Mathematics or comparable with good grades
• solid programming skills in Python
• familiarity with Generative AI / LLMs (e.g. prompt engineering, LLM APIs, frameworks such as LangChain, LangGraph or LlamaIndex)
• understanding of REST APIs and Git
• basic awareness of agentic concepts (tool calling, RAG, multi-agent systems)
• exposure to cloud environments (AWS/Azure/GCP), containerization (Docker), CI/CD or ML/evaluation frameworks
• Personality and Working Practice: you are curious and eager to learn, approach tasks independently with a structured and analytical mindset, and enjoy collaborating with others through strong communication and team spirit
• Enthusiasm: passion for Generative AI, autonomous agents and building cutting-edge AI tooling
• Languages: very good in English and beginner in German