Ai 应用研发工程师（上海）
Tasks
- Analyze AI application requirements
- Build RAG engine and prompt management platform
- Build evaluation platform
- Build intelligent chat systems
- Build knowledge bases
- Conduct code review
- Create reusable components SDKs and standards
- Design AI solution architecture
- Develop AI applications
- Develop agent workflows
- Implement RAG
- Implement deployment pipelines
- Implement tool calling
- Improve vector database performance
- Integrate suitable technologies
- Optimize multi turn dialogue
- Optimize prompts
- Perform technical solution reviews
- Perform technology selection
- Plan AI engineering platform tools and pipelines
- Reduce hallucinations
- Set up monitoring and alerting
- Track AI engineering technology trends
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Concurrency | Cost Optimization | Docker | Embedding | Hallucination mitigation | Inference Optimization | Java | Latency optimization | MLOps | Message queuing | Model Deployment | Model Evaluation | Monitoring and Alerting | Multi-turn dialogue | MySQL | Performance optimization | Prompt Optimization | Prompt engineering | Python | RAG | Redis | SDK development | Spring Boot | Tool-Calling | Vector Database
Education
Roles
AI | AI Application Engineer | AI Engineer | Application Engineer | Engineer
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