AI Engineer (m/w/d)
Tasks
- Apply responsible AI practices
- Build embeddings prompt frameworks and intelligent automation
- Develop deploy and integrate AI generative AI and machine learning components
- Document AI solutions lineage metadata evaluation monitoring and event logs
- Implement retrieval-augmented generation workflows
- Improve reliability performance observability security scalability and operational resilience
- Monitor model quality and evaluate responses
- Support issue investigation remediation and continuous improvement
Perks/Benefits
- Buddy program
- Company pension scheme
- Local benefits
- Mentorship
- Remote work flexibility
- Sport programs
- Well-being initiatives
Skills/Tech-stack
AI Quality Monitoring | AI Services | AI quality | Access Control | Airflow | Automation | Azure AI | Azure AI Services | Azure Data | Azure Data Factory | Azure OpenAI | Data Factory | Data Governance | Databricks | Databricks Workflows | Embeddings | Langchain | Language Models | Large Language Models | MLflow | Model Governance | Model Serving | Prefect | Prompt engineering | Prompt evaluation | PySpark | Python | Quality monitoring | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Semantic Kernel | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer
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