Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Inclusive culture
Sonstige Vorteile
- Health and well-being focus
- Accessibility accommodations
Flexibles Arbeiten
- Flexible working models
- Home
- Jobs in Deutschland
- Garching bei Muenchen
- Working Student - Cloud Native AI EngineerWorking Student - Cloud Native AI Engineer bei SAP
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- Working Student - Cloud Native AI EngineerWorking Student - Cloud Native AI Engineer bei SAP
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- 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
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Inclusive culture
Sonstige Vorteile
- Health and well-being focus
- Accessibility accommodations
Flexibles Arbeiten
- Flexible working models
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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