AI应用研发工程师（架构设计/RAG/Agent）
Tasks
- Build data processing pipelines for agent context
- Design and develop agent focused engineering modules
- Develop API interfaces for model services
- Engineer model deployment and inference services
- Implement agent chaining and multi model coordination
- Integrate agent workflows into business systems
- Manage context and concurrency for agent execution
- Optimize model performance and inference efficiency
- Set up online monitoring and iterative maintenance
- Write and maintain engineering documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | CI/CD | Concurrency | Context Management | Data Pipelines | Deep learning | Docker | Git | Go | Inference Optimization | Java | Kubernetes | Machine Learning | Model Deployment | Model Serving | Online monitoring | PyTorch | Python | 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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