Ai开发工程师
Tasks
- Build intelligent assistants
- Continuously optimize model and agent performance
- Control AI costs
- Coordinate multi agent collaboration
- Deliver AI solutions to production
- Design AI solutions
- Design agent workflows
- Develop AI services
- Develop Large Language Model agent applications
- Ensure system stability
- Evaluate AI effects and performance
- Identify AI application use cases
- Implement RAG systems
- Implement memory for agents
- Implement model integration and service governance
- Implement tool calling
- Integrate LLM capabilities with business systems
- Optimize system performance
- Validate prototypes
Perks/Benefits
- N/A
Skills/Tech-stack
Agent architecture | Agent systems | Go | Java | LLM API | Language Models | Large Language Models | Memory | Multi-Agent | Multi-Agent Systems | Python | RAG | Tool-Calling | TypeScript | Workflow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Backend | Backend Developer | Developer | Engineer
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