Job Description

• 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