GenAI Engineer
Tasks
- Apply MLOps practices for automation
- Build LLM powered systems for production
- Deploy AI solutions from proof of concept to enterprise
- Design AI and generative AI services
- Design secure APIs
- Develop architecture diagrams ADRs technical specifications and code documentation
- Develop multi-agent AI and LLM-based products
- Ensure reliability observability and compliance
- Implement CI/CD for model training testing deployment
- Implement security concept support
- Manage secrets and access control
- Work with data ingestion transformation caching and indexing
Perks/Benefits
Skills/Tech-stack
AI Core | API Design | API Integration | AWS | Access Control | Agent systems | Agile | Azure ML | CI/CD | Compliance | CrewAI | Databricks | Distributed Systems | Django | Docker | ETL | FastAPI | Flask | GitHub Actions | Java | JavaScript | Jira | Kanban | Kubernetes | LLM | Langchain | MLOps | MLflow | Microservices | Multi-Agent | Multi-Agent Systems | Node.js | Observability | Python | SAP | SAP AI | SAP AI Core | SAP BTP | Scrum | Secrets management | Secure API | Secure API Design
Education
N/A
Roles
AI Engineer | Engineer | GenAI Engineer | Senior AI Engineer
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