AI应用研发工程师（架构设计/RAG/Agent）
Tasks
- Build agent data processing pipelines
- Chain agent workflows end to end
- Design and develop test and deploy AI modules
- Develop application interfaces
- Develop model service wrappers
- Engineer AI model deployment
- Ensure system stability high availability scalability
- Implement online monitoring and iteration
- Integrate agent models into business systems
- Optimize model inference performance
- Troubleshoot engineering issues
- Write and maintain technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Context Management | Data pipeline | Deep learning | Docker | Feature Engineering | Git | Go | High Availability | Inference Optimization | Java | Kubernetes | Machine Learning | Model Deployment | Online monitoring | PyTorch | Python | Scalability | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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