AgentInfra开发工程师（J104853）
Core
Develop core modules for the Agent infrastructure, including tool parallel scheduling, session lifecycle management, and execution process observability.
Role type
Junior IC machine-learning engineer (AI infrastructure)
Builds
Agent infrastructure components, model routing systems, and performance optimization tools
Domain
Artificial Intelligence / Large Language Models (LLM)
Deliverable
production ML models
Required skills
Python, asyncio, multi-threading, LLM application development, Prompt engineering, Function Calling, SQL, statistical analysis
Preferred skills
Agent frameworks (LangChain, Claude Code, Codex), ABTest experience, data dashboarding, model training support
Technologies
Python, asyncio, SQL, LangChain, Claude Code, Codex
Responsibilities
Develop and iterate on core infrastructure modules for tool scheduling and session management; Optimize LLM model routing and capacity scheduling; Analyze and optimize end-to-end query latency; Build data systems for A/B testing and cost attribution; Support model benchmarking and training pipelines
Seniority
Junior, hands-on IC
