Internship - AI/ML Engineering (m/f/x)

Enhance our ML/LLMOps and AI Agent infrastructure for model evaluation, testing, and deployment within an AWS environment.

Evaluate and implement different LLM frameworks, AI agent architectures, and 3rd party APIs.

Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency.

Support the development and automation of AI agent systems and Retrieval-Augmented Generation (RAG) pipelines.

Document your findings in our internal knowledge base

Contribute to the development, improvement, and automation of our machine learning and data pipelines

Gain experience in industry critical infrastructure technologies and apply them productively

Excellent academic background in a quantitative discipline (computer science, machine learning, data science, financial mathematics,, engineering, physics, or a similar field)

Currently pursuing a Bachelor’s or Master’s degree.

First experiences with Cloud Infrastructure (AWS)

Hands on experience  in Python Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph,, OpenSearch)

First-hand experience with creating LLM-powered applications,  AI agents, tool use, and multi-step reasoning workflows.  (e.g. Chatbots, information retrieval, document summarization)

Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)

Curiosity and enthusiasm to learn new technologies and build reliable AI systems.

Result-oriented and pragmatic way of working

Fluency in English (written & spoken)

Please also provide us with your latest transcript of records and if applicable your work references