AI应用后端开发工程师(Go方向)-AI工具运营
Core
Design and implement multi-Agent collaboration frameworks and backend services to operationalize LLM capabilities for content quality control and business efficiency.
Role type
Senior IC AI Backend Engineer (Go)
Builds
Multi-Agent orchestration systems, backend services, and LLM integration pipelines
Domain
AI Agents, Large Language Models, Backend Engineering
Deliverable
production ML models
Required skills
Go, HTTP/HTTPS, gRPC, microservices, distributed systems, Agent frameworks (LangChain/LangGraph/AutoGen), ReAct, tool use, memory management, LLM engineering (routing, streaming, token optimization)
Preferred skills
Content quality control domain knowledge, 0-1 system architecture experience, cross-team technical collaboration
Technologies
Hertz, Gin, Echo, Go-Zero, MySQL, Redis, Kafka, RocketMQ, Elasticsearch
Responsibilities
Design and implement multi-Agent collaboration modules (scheduling, communication, tool use); Collaborate with product teams to translate LLM capabilities into scalable Agent solutions; Optimize LLM application engineering for production (cost, latency, context); Establish engineering methodologies and best practices for Agent development.
Seniority
Senior, hands-on IC