AI Agent记忆系统工程师/架构师-基础设施
Core
Designing and building a unified memory infrastructure platform for AI Agents to support long-term, session, and task memory capabilities.
Role type
Senior IC AI Infrastructure Engineer (Memory Systems)
Builds
A scalable memory platform serving online inference and personalized interactions for AI Agents.
Domain
Artificial Intelligence / Distributed Systems / Data Infrastructure
Deliverable
production ML models
Required skills
Distributed systems, Database systems, Retrieval systems, System design, Go/Java/Python/C++, Large model applications, Embedding, RAG, Context Engineering, Vector indexing, Graph indexing, Recall and ranking, Memory compression, Multi-modal processing
Preferred skills
Agent Memory, User profiling, Search/Recommendation feature platforms, Knowledge bases, Mem0/MemOS/MemU, High-quality publications, Online inference systems, Personalized Agents
Responsibilities
Architect core modules for memory writing, storage, indexing, retrieval, update, compression, and forgetting mechanisms; Explore key technologies like memory representation, conflict resolution, and lifecycle management; Design unified models for text, image, audio, and behavioral data; Collaborate with model and application teams to deploy memory capabilities; Optimize system performance, cost, latency, and stability.
Seniority
Senior, hands-on IC