Ai技术专家
Tasks
- Build AI agents and RAG knowledge bases
- Build low code and workflow orchestration platforms
- Clarify requirements and design solutions
- Deploy and operate model serving systems
- Design data models and permission systems
- Design end to end enterprise AI applications
- Develop AI service interfaces and APIs
- Develop reusable technical components and standards
- Govern data security and content safety
- Identify business pain points
- Implement AI evaluation and human review
- Integrate AI systems with internal enterprise systems
- Monitor alerts and analyze logs
- Optimize AI service performance and resolve production issues
- Perform model inference optimization and cost governance
- Set up access control and exception fallback
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Access Control | Agent systems | Code Development | Content Safety | Cost governance | Data Security | Database Design | DevOps | Docker | Fault troubleshooting | Function Calling | GPU | Golang | Kubernetes | Language Models | Large Language Models | Linux | Log Analysis | Low Code | Low code development | MCP | Microservices | Model Serving | Monitoring | Observability | Performance Tuning | Prompt engineering | Python | RAG | Skill Systems | Vector Databases | Workflow Engine | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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