后端开发工程师（J104290）
Core
Design and build the architecture and core modules for an enterprise AI platform, enabling LLM calls, agent scheduling, and knowledge management for R&D teams.
Role type
Senior IC backend engineer (AI platform & distributed systems)
Builds
Enterprise AI tool platform, LLM orchestration gateway, agent scheduling engine, and knowledge base integration
Domain
Artificial Intelligence, Large Language Models (LLM), Distributed Systems, Knowledge Management
Deliverable
production ML models
Required skills
Python/TypeScript/Go, Microservices, Distributed systems, Vector databases, LLM integration, System architecture design, Observability, Performance optimization
Preferred skills
RAG implementation, Agent workflow engines, High-concurrency system design, Knowledge base development
Technologies
Milvus, Chroma, PgVector, Elasticsearch, Redis, MySQL, Kubernetes (implied by distributed/microservices context), Docker (implied)
Responsibilities
Design distributed architecture for high-load AI scenarios; Develop AI workflow and agent scheduling engines; Build LLM unified scheduling gateway; Ensure platform stability and performance; Implement security and content safety controls
Seniority
Senior, hands-on IC
