大模型应用架构师
Tasks
- Build model gateway and adapter layer
- Build reusable agent development framework SDK and components
- Collaborate cross functionally to deliver product from requirements to launch
- Deploy high availability observable and canary services
- Design AI Agent application architecture
- Develop MCP skill tool framework
- Develop core agent modules
- Engineer inference planning decision capabilities for production services
- Implement concurrency control and rate limiting
- Implement error tolerance cost governance
- Implement knowledge base services
- Implement task planning and execution engine
- Implement timeout fallback and degradation
- Integrate inference engines with model gateway and scheduling
- Monitor first token and end to end latency
- Optimize agent pipeline performance and stability
- Track LLM MLLM and agent application trends
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Frameworks | C++ | Caching | Canary Deployment | Concurrency Control | Coze | Dify | Execution Engine | Fallback mechanisms | Function Calling | Go | High Availability | Inference engine | Java | Kafka | LLM Inference | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MCP | Model Scheduling | Model gateway | MongoDB | MySQL | Observability | Python | Rate Limiting | Redis | Retrieval-Augmented Generation | SGLang | Streaming | Task planning | TensorRT | TensorRT-LLM | Timeout handling | Token Management | VLLM | Vector Databases | Vector Search
Education
N/A
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