Ai开发工程师
Tasks
- Build RAG systems
- Build model integration pipelines
- Conduct effect evaluation
- Control AI costs
- Design AI solutions
- Design workflow execution
- Develop Large Language Model agent applications
- Develop multi agent collaboration
- Ensure system stability
- Explore agent adoption for productivity
- Identify AI application scenarios
- Implement memory for agents
- Implement tool calling
- Integrate large language models with business systems
- Monitor AI coding technologies
- Optimize performance
- Perform prototype validation
- Provide service governance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Agent systems | Go | Java | LLM API | Language Model | Large Language Model | Memory | Multi-Agent | Multi-Agent Systems | Python | RAG | Tool-Calling | TypeScript | Workflow
Education
N/A
Roles
AI | AI Engineer | Backend | Backend Developer | Developer | Engineer
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