AI Agent开发工程师（AI基础能力）-集团信息系统
Core
Design and deliver the architecture for the Context Layer, serving as the cognitive hub for LLM applications by managing context assembly, compression, routing, retrieval, and memory.
Role type
Senior IC AI Infrastructure Engineer (Context Layer & RAG)
Builds
Unified context assembly/compression/routing framework, intelligent routing pipelines, and standardized SDKs/APIs for AI agents.
Domain
AI Infrastructure / Large Language Model Engineering / RAG Systems
Deliverable
production ML models
Required skills
LLM application architecture, Context Engineering, RAG full-stack implementation, Distributed systems engineering, Data structures and algorithms
Preferred skills
Enterprise-level Context Service or Memory system leadership, NL2SQL/DSL experience, Data asset governance, Lakehouse architecture
Technologies
Go, Python, Java, Rust, Milvus, Faiss, Vector databases, Embedding models, Rerank algorithms