AI应用工程师-计算
Core
Build enterprise-grade AI Agent workspaces, transforming complex AI capabilities into user-configurable, reliable product features that integrate into daily workflows.
Role type
Full-stack AI Application Engineer (Agent & LLM)
Builds
AI Agent workspaces, tool invocation systems, multi-agent collaboration platforms, and runtime orchestration tools.
Domain
Enterprise AI / LLM Applications / Agent Orchestration
Deliverable
product features
Required skills
TypeScript, React, Python, Node.js, Rust, AI Agent architecture, LLM application development, workflow orchestration, MCP/Plugin ecosystems, asynchronous programming, full-stack engineering
Preferred skills
OpenClaw, Claude Code, Codex, Hermes, LangGraph, RPA, Computer Use, RAG, knowledge base systems, long-task execution, observability, permission systems, open-source contributions
Responsibilities
Design and implement core user experiences for AI Agent workspaces; build end-to-end full-stack product engineering from frontend to data flow; participate in AI Agent runtime and ecosystem construction including tool calling and multi-agent collaboration; implement enterprise-level security, governance, and cost management; adopt AI-native methods to optimize development workflows and debugging.