KI Softwareentwickler / AI Software Engineer - hybrid (w/m/d)
Tasks
- Assess conversational AI approaches and risks
- Build cloud-native AI solutions
- Choose AI models and training approach
- Create tests for AI models
- Define AI solution architecture
- Develop and implement scalable AI applications
- Document architecture models processes and workflows
- Evaluate and optimize LLM performance
- Integrate AI models into systems
- Integrate external AI APIs and services
- Prepare data preprocessing pipelines
Perks/Benefits
- Continuous learning
- Flat hierarchies
- Flexible working hours
- Hybrid work
- International team
- Modern equipment
- Remote work flexibility
- Team events
Skills/Tech-stack
API Integration | AWS | Azure | Cloud Native | Conversational AI | Data Preprocessing | FastAPI | Generative AI | Google Cloud | GraphRAG | LLM | Langfuse | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Node.js | Python | Risk Assessment
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | AI Software Engineer | Architect | Engineer | Software Engineer
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