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Internship AI Engineer (m/f/d) at miele – Gütersloh | Jobyssey

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Internship AI Engineer (m/f/d)

Internship AI Engineer (m/f/d)

miele · Gütersloh · 2 months ago

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Seniority: Intern
Employment: Internship
Category: AI engineering
Visa sponsorship: No

agentic-ai ai api automation azure data-science generative-ai git langchain langgraph llm

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Internship role designing and prototyping AI-powered applications using Python, LLMs, and agentic workflows to solve business challenges in collaboration with HR and IT teams.

Your Responsibilities

You design and develop AI-powered applications using Python, Large Language Models, AI agents, and modern AI frameworks
You build end-to-end AI workflows by combining models, enterprise data, APIs, business logic, workflow automation, and existing HR systems
You create solution architectures that bring together Generative AI, traditional machine learning, deterministic logic, and enterprise applications
You evaluate new technologies, turn promising ideas into prototypes, and improve solutions based on technical performance, user feedback, and measurable business impact
You work closely with HR, IT, and business teams to identify new use cases, translate business challenges into scalable solutions, and present concepts and outcomes clearly to technical and non-technical audiences

What we are looking for

You are currently pursuing a degree in Machine Learning, Artificial Intelligence, Data Science, Computer Science, or a related field
You have strong Python programming skills and hands-on experience developing AI applications, prototypes, AI assistants, or intelligent workflow automation solutions
You have a solid foundation in machine learning and practical experience with LLMs, Retrieval-Augmented Generation, vector databases, and agentic AI
You can assess when Generative AI, traditional machine learning, automation, or a combination of these approaches is the right solution and translate business challenges into practical technical concepts
You communicate complex AI topics clearly, enjoy collaborating across disciplines, and ideally bring experience with Azure, orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel, as well as Git-based development workflows