Agent平台工程师-AI for Science
Core
Design and develop an Agent Platform for Auto Research scenarios to build scalable, reusable research automation frameworks.
Role type
Senior IC backend engineer (AI for Science / Agent Platform)
Builds
Agent Workflow, Agent Runtime, multi-agent collaboration, and a unified Agent Tool Ecosystem integrating search, literature reading, code execution, and experiment running.
Domain
AI for Science / Automated Research
Deliverable
production ML models
Required skills
Python, LLM application development, Agent/Tool Calling concepts, system design, complex function implementation from scratch
Preferred skills
LangGraph, OpenAI Agents SDK, AutoGen, CrewAI, MCP, Browser Agent, Coding Agent, Deep Research, AI research workflow experience
Technologies
Python, LLMs, Agent Frameworks
Responsibilities
Design and implement Agent Workflow and Runtime capabilities; Integrate tool capabilities for search, literature reading, code execution, and experiment running; Build key modules for Agent Memory, Evaluation, and Observability; Collaborate with algorithm and research teams to understand requirements and support Auto Research workflow implementation.