Ai 应用研发工程师（上海）
Tasks
- Analyze AI application requirements
- Build AI engineering platforms
- Build agent workflows
- Conduct code reviews
- Control AI costs
- Create reusable components and SDKs
- Define development standards
- Design AI application solutions
- Develop AI applications
- Develop evaluation platform
- Develop intelligent chat systems
- Develop low cost AI calling services
- Develop prompt management platform
- Handle concurrent AI requests
- Implement RAG systems
- Implement monitoring and alerting
- Improve vector database performance
- Introduce new technologies
- Optimize AI inference performance
- Optimize prompts
- Reduce hallucinations
- Review technical solutions
- Select technologies for AI applications
- Set up deployment pipelines
- Track industry AI engineering trends
Perks/Benefits
- N/A
Skills/Tech-stack
Agent workflow | Docker | Embeddings | Evaluation and optimization | Function Calling | Inference Optimization | Java | MLOps | Message Queue | Model Deployment | Monitoring and Alerting | MySQL | Prompt engineering | Python | RAG | Redis | Spring Boot | Vector Database
Education
Roles
AI | AI Application Engineer | AI Engineer | Application Engineer | Engineer
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