- 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 Bachelors or Masters 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
Remote Work :
No
Employment Type :
Intern
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 reliab...
- 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 Bachelors or Masters 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
Remote Work :
No
Employment Type :
Intern
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