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
Qualifications
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
Nice to have:
Experience with AI Agent or RAG Evaluation Systems (e.g. LLM-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation).
Good understanding of software engineering principles, including API development, code versioning, and testing frameworks (e.g. Pytest, FastAPI, etc.)
Familiarity with end-to-end ML projects
Experience with Infrastructure as Code (IaC) like terraform is a plus
Experience with CI/CD frameworks (e.g. Jenkins, Gitlab CI/CD) is a plus
Additional Information
Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
Enjoy an office in the heart of Munich, located in a lively neighbourhood and close to the English garden
All internships are worth the same with us: we also remunerate mandatory internships
Learn and grow by joining our in-house knowledge sharing sessions
Work productively with the latest hardware and tools
Free subscription to the PRIME+ Broker
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Internship - AI/ML Engineering (m/f/x) • München, Bavaria, Germany