Ai 应用研发工程师
Tasks
- Build agent workflows and tool calling integrations
- Conduct requirement analysis and technical design for large model applications
- Create reusable components SDK and engineering standards
- Develop AI applications from prototype to production
- Implement RAG knowledge base and intelligent chat features
- Improve model application stability performance and concurrency
- Monitor deploy and manage AI services with pipelines
- Optimize prompts and embeddings
- Perform code reviews and technical solution reviews
- Plan and drive AI engineering platform and tooling development
- Reduce AI inference cost and optimize vector search
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | CI/CD | Docker | Embeddings | Function Calling | Inference Optimization | Java | MLOps | Message Queue | Model Deployment | Model Evaluation | Monitoring | MySQL | Prompt Optimization | Prompt engineering | Python | RAG | Redis | Retrieval-Augmented Generation | Spring Boot | Vector Database
Education
Roles
AI | AI Application Engineer | AI Engineer | Application Engineer | Engineer
Regions
Countries
States
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