Kinfra 后台开发工程师(文档解析和RAG方向)
Core
Optimize document parsing, RAG, memory, and Agentic search systems for high availability and low latency; design and develop a standardized, componentized AI capability PaaS platform.
Role type
Senior IC backend engineer (AI infrastructure & RAG)
Builds
Document parsing and RAG PaaS platform, AI capability infrastructure
Domain
AI / Large Language Models / RAG / Agentic Systems
Deliverable
production ML models
Required skills
Go, C++, Python, Java, Linux/Unix, LLM fundamentals, RAG, Agent principles (Tool Use, Planning, Memory), system architecture, high-performance optimization
Preferred skills
Model tuning, open-source contributions, mature business system development
Technologies
RAG, Agentic search, LLM frameworks
Responsibilities
Optimize system performance and latency for complex scenarios; optimize model inference frameworks to increase throughput and reduce costs; design and develop AI PaaS platform architecture; track and implement cutting-edge AI technologies in business scenarios
