Ai 应用研发工程师
Tasks
- Analyze requirements for large language model applications
- Build AI engineering platform and tools
- Build RAG knowledge base systems
- Conduct technical reviews and code review
- Create reusable components SDK and development standards
- Design technical solutions and implement features
- Develop AI agents and tool calling workflows
- Develop AI applications from 0 to 1
- Handle hallucination and stability issues
- Implement intelligent chat and multi turn dialogs
- Improve performance concurrency and cost
- Manage deployment pipelines for low cost inference
- Optimize prompts and improve model outputs
- Set up evaluation and monitoring alerting
- Tune vector databases and embeddings
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | CI/CD | Docker | Embeddings | Evaluation and optimization | Inference Optimization | Java | MLOps | Message Queue | Model Deployment | Monitoring and Alerting | MySQL | Prompt engineering | Python | Redis | Retrieval-Augmented Generation | Spring Boot | Vector Database
Education
Roles
AI | AI Applications Engineer | Applications Engineer | Backend | Backend Engineer | Engineer
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