Required skills
- Generative AI
- Large Language Models
- AI Agents
- Prompt Engineering
- AI Workflow Automation
- Engineering Data
- AI Solutions Development
- Validation Processes
- Prototyping
- Process Optimization
- Documentation
Nice to have:Semiconductor EngineeringHigh-Tech Engineering
Languages: German · English
Job description
Develop and implement Generative AI use cases, AI Agents, and AI-powered workflows within an engineering context. Requires strong practical experience with Generative AI, LLMs, and prompt engineering.
Responsibilities
Profile
- Conception and implementation of Generative AI use cases in the engineering environment
- Development of AI Agents, Prompt Libraries, and AI-supported workflows
- Translation of technical requirements into practically applicable AI solutions
- Integration of relevant engineering data and knowledge sources
- Development of reusable and scalable AI solutions
- Definition of suitable validation processes for AI-generated results
- Prototypical implementation and evaluation of new GenAI use cases
- Optimization of existing AI workflows regarding quality and reusability
- Documentation of developed solutions and use cases
- Sound practical experience with Generative AI and Large Language Models (LLMs)
- Experience in the development and implementation of AI Agents
- Very good knowledge of Prompt Engineering
- Experience with AI-supported workflows and automation
- Technical understanding of engineering processes and data
- Ability to translate technical requirements into concrete AI use cases
- Very good English skills
- Experience in the Semiconductor/High-Tech Engineering environment is an advantage
Project details
- Start: 01/27
- Location: Kärnten, AT, AT
- Languages: German, English
Source notes
- Support throughout the entire application process
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