Intern for Generative AI/Agentic AI (d/m/f)

Airbus Defence and Space GmbH · Ulm

InternshipGerman needed: fluent

Still open on 11 Nov

You apply on the company's own website.

Key facts

Pay: Good pay
Duration: 6 months
Where you work: Company and home
Language needed: German and English
Subject you study: Applied Mathematics, Artificial Intelligence, Computer Science

Development and implementation: support in design, coding and testing of GenAI services, chatbots and AI agents using modern frameworks. You learn the typical development workflows and take on first coding tasks
On-premise operation and hosting: insight into deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes). You assist with providing services and learn performance optimization and resource management in practice
Security and compliance: develop an understanding of the strict security guidelines of Airbus Defence and Space and apply them in all tasks. Support in implementing security-compliant development processes
RAG and MCP: help develop and optimize RAG pipelines connecting internal knowledge bases and implement MCP tools for standardized, secure interfaces between AI models and internal tools/data sources
Technical support and enablement: support with internal user requests and troubleshooting. Help create technical documentation and best practices, and so learn quickly from real use cases
Roadmap and PoCs: work on proofs of concept (PoCs) for new AI use cases and actively contribute to the team's technical roadmap. Here you can bring your own ideas and gain first practical experience with new technologies

Enrolled full-time student (d/m/f) in Applied Mathematics, Artificial Intelligence, Computer Science or similar
Background in deep learning and data science
Experience with Python, PyTest and generative AI tools
Interest in GenAI, large language models, RAG and autonomous agents
Basic knowledge of Docker/Kubernetes and Git
Independent and structured way of working and teamwork skills
Strong willingness to learn and curiosity about new technologies
Good German and English skills

Attractive pay and a balanced work-life balance
A thesis afterwards is possible after consultation with the department
Mobile working by arrangement with the department
Travel within Germany (team events) is possible after consultation with the department
International environment with the chance to build contacts around the world
Work with modern and varied technologies
At Airbus we see you as a full team member: you were not hired to make coffee, but work closely with interfacing teams and take part in our weekly team meetings
Opportunity to join the Generation Airbus Community to expand your network

Development and implementation: support in design, coding and testing of GenAI services, chatbots and AI agents using modern frameworks. You learn the typical development workflows and take on first coding tasks
On-premise operation and hosting: insight into deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes). You assist with providing services and learn performance optimization and resource management in practice
Security and compliance: develop an understanding of the strict security guidelines of Airbus Defence and Space and apply them in all tasks. Support in implementing security-compliant development processes
RAG and MCP: help develop and optimize RAG pipelines connecting internal knowledge bases and implement MCP tools for standardized, secure interfaces between AI models and internal tools/data sources
Technical support and enablement: support with internal user requests and troubleshooting. Help create technical documentation and best practices, and so learn quickly from real use cases
Roadmap and PoCs: work on proofs of concept (PoCs) for new AI use cases and actively contribute to the team's technical roadmap. Here you can bring your own ideas and gain first practical experience with new technologies

Enrolled full-time student (d/m/f) in Applied Mathematics, Artificial Intelligence, Computer Science or similar
Background in deep learning and data science
Experience with Python, PyTest and generative AI tools
Interest in GenAI, large language models, RAG and autonomous agents
Basic knowledge of Docker/Kubernetes and Git
Independent and structured way of working and teamwork skills
Strong willingness to learn and curiosity about new technologies
Good German and English skills

Attractive pay and a balanced work-life balance
A thesis afterwards is possible after consultation with the department
Mobile working by arrangement with the department
Travel within Germany (team events) is possible after consultation with the department
International environment with the chance to build contacts around the world
Work with modern and varied technologies
At Airbus we see you as a full team member: you were not hired to make coffee, but work closely with interfacing teams and take part in our weekly team meetings
Opportunity to join the Generation Airbus Community to expand your network