Ai 应用研发工程师（上海）
Tasks
- Analyze AI application requirements
- Build AI engineering platform and tools
- Build intelligent chat and agent workflows
- Conduct code reviews and technical reviews
- Create reusable components SDK and development standards
- Design evaluation and monitoring alerting
- Develop and deploy large model AI applications
- Implement RAG and knowledge base solutions
- Implement tool calling and function calling
- Improve performance concurrency and cost
- Optimize prompts and reduce hallucinations
- Optimize vector databases and embeddings
- Select technologies and design solutions
- Set up deployment pipelines and low cost inference services
- Track AI engineering trends and adopt new technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | Alerting | Concurrency | Cost Optimization | Deployment pipeline | Docker | Embeddings | Evaluation | Function Calling | Hallucination reduction | Inference Optimization | Java | MLOps | Message queuing | Model Deployment | Monitoring | MySQL | Performance optimization | Prompt Optimization | Prompt engineering | Python | RAG | Redis | Spring Boot | Tool-Calling | Vector Database
Education
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