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Working Student - Cloud Native AI Engineer(m/w/x)
Expanding AI features in SAP BTP Kyma runtime, developing multi-agent systems with LangGraph and LangChain. Python and Kubernetes experience required. Flexible working models, constant learning.
Requirements
- Good grasp of AI concepts (agent skills, tools, MCP, A2A, prompt techniques, context-injection, RAG)
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Experimentation with local LLMs, openClaw, RAG systems
- Experience with Python (REST APIs, FastAPI), K3D/S, engineering practices
- Familiarity with orchestration tools (Kubernetes, GitHub Actions)
- Quick adaptation to changing technologies, frameworks, clear communication
- Ability to work from Garching bei München office once a week
Tasks
- Contribute to expanding AI features in SAP BTP Kyma runtime
- Develop multi-agent systems and new skills for agents
- Work on large-scale distributed systems using Kyma and Kubernetes
- Utilize AI libraries and frameworks like LangGraph, LangChain, LangFuse
- Maintain and improve live AI products for SAP BTP Kyma Runtime
- Develop new AI features for SAP BTP Kyma Runtime
- Work on CI/CD pipelines, automation, testing, and releases
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AI concepts
- agent skills
- MCP
- A2A
- prompt techniques
- context-injection
- RAG
- multi-agent AI frameworks
- generative AI frameworks
- LangChain
- CrewAI
- local LLMs
- openClaw
- Python
- REST APIs
- FastAPI
- K3D/S
- Kubernetes
- GitHub Actions
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Inclusive culture
Other Benefits
- Health and well-being focus
- Accessibility accommodations
Flexible Working
- Flexible working models
- Home
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Working Student - Cloud Native AI Engineer(m/w/x)
Expanding AI features in SAP BTP Kyma runtime, developing multi-agent systems with LangGraph and LangChain. Python and Kubernetes experience required. Flexible working models, constant learning.
Requirements
- Good grasp of AI concepts (agent skills, tools, MCP, A2A, prompt techniques, context-injection, RAG)
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Experimentation with local LLMs, openClaw, RAG systems
- Experience with Python (REST APIs, FastAPI), K3D/S, engineering practices
- Familiarity with orchestration tools (Kubernetes, GitHub Actions)
- Quick adaptation to changing technologies, frameworks, clear communication
- Ability to work from Garching bei München office once a week
Tasks
- Contribute to expanding AI features in SAP BTP Kyma runtime
- Develop multi-agent systems and new skills for agents
- Work on large-scale distributed systems using Kyma and Kubernetes
- Utilize AI libraries and frameworks like LangGraph, LangChain, LangFuse
- Maintain and improve live AI products for SAP BTP Kyma Runtime
- Develop new AI features for SAP BTP Kyma Runtime
- Work on CI/CD pipelines, automation, testing, and releases
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- AI concepts
- agent skills
- MCP
- A2A
- prompt techniques
- context-injection
- RAG
- multi-agent AI frameworks
- generative AI frameworks
- LangChain
- CrewAI
- local LLMs
- openClaw
- Python
- REST APIs
- FastAPI
- K3D/S
- Kubernetes
- GitHub Actions
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Inclusive culture
Other Benefits
- Health and well-being focus
- Accessibility accommodations
Flexible Working
- Flexible working models
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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