Ai 应用研发工程师（上海）
Tasks
- Analyze AI application requirements
- Build AI engineering platforms and tools
- Build RAG knowledge systems
- Conduct code reviews and technical reviews
- Create reusable SDKs and components
- Define development standards and best practices
- Develop AI applications
- Develop agent workflows
- Develop evaluation and monitoring systems
- Handle tool calls for AI assistants
- Implement intelligent chat systems
- Implement prompt management platforms
- Improve performance and concurrency
- Optimize prompts and reduce hallucinations
- Optimize vector databases
- Reduce AI inference costs
- Select technologies and design solutions
- Set up deployment pipelines
- Track industry AI trends and apply improvements
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | CI/CD | Concurrency | Cost Optimization | Docker | Embeddings | Evaluation | Inference Optimization | Java | MLOps | Message Queue | Model Deployment | Monitoring and Alerting | MySQL | Performance optimization | Prompt engineering | Prompt management | Python | RAG | Redis | Spring Boot | Vector Database
Education
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