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Responsibilities
- Develop and deploy modern AI solutions based on Large Language Models (LLMs), Generative AI, and AI Agents.
- Conceptualize and implement intelligent applications and integrate AI functionalities into existing software and enterprise systems.
- Build RAG architectures, knowledge systems, and AI-powered assistance solutions.
- Select, evaluate, and further develop modern AI technologies, frameworks, and platforms.
- Collaborate with software developers, subject matter experts, and clients to develop innovative data- and AI-driven solutions.
Requirements
- Completed degree in Computer Science, Artificial Intelligence, Data Science, or a comparable qualification.
- Several years of experience in developing modern software solutions with Python and ideally Java or Kotlin.
- Sound knowledge in the areas of Generative AI, Large Language Models (LLMs), AI Agents, and Prompt Engineering.
- Experience with AI frameworks and platforms such as LangChain, LangGraph, Semantic Kernel, Azure AI Foundry, or comparable technologies.
- Experience in integrating AI solutions into productive enterprise applications.
- Knowledge of modern cloud, DevOps, and container technologies is advantageous.
- Analytical mindset, innovative spirit, and interest in new technologies and methods.
- Very good German and good English language skills.
Skills
- Python
- Java
- Kotlin
- Generative AI
- Large Language Models (LLMs)
- AI Agents
- Prompt Engineering
- LangChain
- LangGraph
- Semantic Kernel
- Azure AI Foundry
- Cloud technologies
- DevOps
- Container technologies
Experience Level
- Several years of experience
Education Level
- Degree in Computer Science, Artificial Intelligence, Data Science, or a comparable qualification