AI Agent算法架构师
Tasks
- Build multimodal intelligent assistant system
- Coordinate edge and cloud AI architecture
- Deploy agent capabilities to intelligent eyewear scenarios
- Design AI Agent algorithm architecture
- Design agent memory planning and tool calling modules
- Develop end to end agent algorithms
- Implement LLM inference pipeline
- Optimize perception and multimodal understanding
- Optimize response time accuracy power and cost
- Research and track LLM agent and multimodal technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Framework | Cloud Computing | Computer Vision | Edge AI | LLM Inference | Language Models | Large Language Models | Memory systems | Model Optimization | Multimodal Learning | Planning | Python | RAG | Tool-Calling | VLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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