Applied AI Engineer (gn) - Schwerpunkt Conversational AI / Generative AI / intelligente Automatisierung
Tasks
- Create prompts and interaction logic
- Define responsible AI standards and best practices
- Design AI system behavior
- Develop LLM-based applications
- Develop prototype to production solutions
- Identify and prioritize new AI use cases
- Identify hallucinations and undesired behavior
- Implement AI evaluation and testing
- Improve model outputs and control mechanisms
- Measure response quality and reliability
- Optimize conversational AI systems
- Translate requirements into AI use cases
Perks/Benefits
Skills/Tech-stack
API Integration | Conversational AI | Hallucination detection | JSON | LLM Evaluation | Language Models | Large Language Models | Prompt engineering | Python | Quality Assurance | Testing | Voice AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Applied AI Engineer | Conversational AI Engineer | Engineer | LLM Engineer
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