Ai开发工程师
Tasks
- Build RAG applications
- Conduct prototype validation
- Control AI costs
- Deploy AI services to production
- Design AI solution architecture
- Design workflow automation
- Develop large model agent systems
- Develop memory for AI agents
- Ensure AI service stability
- Evaluate AI solution effectiveness
- Identify AI use cases
- Implement tool calling
- Integrate models with business systems
- Optimize AI service performance
- Orchestrate multi agent collaboration
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Cost Optimization | Go | Java | LLM API | Language Models | Large Language Models | Memory | Model Integration | Multi-Agent | Multi-Agent Systems | Performance optimization | Python | RAG | Service Governance | Tool-Calling | TypeScript | Workflow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Backend | Backend Developer | Developer | Engineer
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