Ai 应用研发工程师
Tasks
- Analyze requirements for large language model applications
- Build reusable components SDK and development standards
- Conduct technical reviews and code review
- Deploy and operate AI services with monitoring and alerting
- Design and implement RAG intelligent dialogue and agent workflows
- Develop AI applications from zero to one
- Improve performance scalability and concurrency
- Optimize prompts and reduce hallucinations
- Optimize vector databases and embeddings
- Plan and implement AI engineering platforms and tools
- Track industry trends and integrate suitable technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | Alerting | CI/CD | Concurrency | Docker | Embeddings | Evaluation | Function Calling | Inference Optimization | Java | Knowledge Base | MLOps | Message Queue | Model Deployment | Monitoring | Multimodal AI | MySQL | Performance optimization | Prompt Optimization | Prompt engineering | Python | RAG | Redis | Spring Boot | Vector Database
Education
Roles
AI | AI Applications Engineer | Applications Engineer | Backend | Backend Engineer | Engineer
Regions
Countries
States
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