Hybrid Working Student – AI Engineering, LLMs, RAG, Automation

at advasolutions

• Job title: Working Student – AI Engineering, LLMs, RAG, Automation
• Job type: Part Time
• Experience level: Entry level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Docker, Postgres, Python, SQL
• Location requirements: Hybrid, Munchen, Germany

About the role

• Intern in AI Engineering focused on LLMs and automation in a tech-driven team. Working on innovative AI projects and contributing to the development of automated systems.

Responsibilities

• You work on internal AI projects focusing on LLMs and RAG — from prototype to production-ready solutions
• You support the development and enhancement of automated content and knowledge systems
• You develop and optimize data pipelines and integrate external APIs
• You design and implement AI workflows to orchestrate data and model processes — ideally using tools like n8n
• You structure, process, and prepare internal and external data sources
• You implement and test prompting strategies, retrieval logic, and RAG workflows — experience with frameworks such as LangChain, LangGraph, or LlamaIndex is a plus
• You integrate AI solutions into existing systems and, ideally, use container technologies such as Docker
• You analyze results and continuously improve quality, efficiency, and the level of automation

Requirements

• You are enrolled in a degree program in Computer Science, Data Science, Business Informatics, or a comparable technical field
• You have strong Python skills and understand data structures, APIs, and software architecture
• You have practical experience with LLMs (e.g., personal projects, thesis work, or prior working-student roles)
• You are familiar with prompt engineering, API-based LLM integrations, or initial RAG implementations
• You have a basic understanding of embeddings, retrieval concepts, and vector databases
• Ideally, you have knowledge of databases (e.g., SQL/PostgreSQL) — experience with Docker is a plus
• You work in a structured, analytical way and have an interest in production-ready AI systems within a startup environment
• You have very good German skills (at least C1) and good English skills.

Benefits

• A role tailored to you that fits well with your university schedule
• Attractive and fair compensation
• Work on innovative AI solutions with direct applications in industry and automation
• A dynamic, technology-driven team with plenty of room for initiative
• Access to modern tools and high-performance computing infrastructure
• Flexible working hours
• Hybrid work
• 30 days of vacation (pro-rated) and fair compensation
• State-of-the-art office on the technology campus in Munich