Ai 应用研发工程师
Tasks
- Analyze requirements for large model applications
- Build AI engineering platforms and tools
- Build RAG and knowledge base applications
- Build deployment pipelines and low cost inference services
- Conduct code review and technical plan reviews
- Create reusable components SDK and development standards
- Design technical solutions and implement deployments
- Develop AI applications from scratch
- Develop agent workflows and tool calling
- Implement intelligent chat and multi turn conversations
- Implement monitoring and alerting
- Improve performance concurrency and stability
- Optimize prompts and reduce hallucinations
- Optimize vector database and embeddings
- Research industry trends and integrate suitable technologies
- Set up prompt management and evaluation platforms
Perks/Benefits
- N/A
Skills/Tech-stack
Agent | Docker | Embeddings | Inference Optimization | Java | Language Model | Large Language Model | MLOps | Message Queue | Model Deployment | Model Evaluation | Monitoring | MySQL | Performance Tuning | Prompt engineering | Python | RAG | Redis | Retrieval-Augmented Generation | Spring Boot | Vector Database
Education
Regions
Countries
States
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