Autonomy Operation Agent Engineer
Core
Design and develop professional AI Agents for autonomous operation sites, focusing on operational analysis, anomaly diagnosis, and knowledge services, integrating LLMs and RAG to enable task decomposition and multi-step execution.
Role type
Senior IC Agent Engineer (Autonomous Operations)
Builds
Production-ready Agent products and workflows for industrial autonomous sites
Domain
Industrial Automation / Autonomous Mining / AI Agents
Deliverable
production ML models
Required skills
Python, Large Language Models (LLM), Retrieval Augmented Generation (RAG), Prompt Engineering, Function/Tool Calling, Task Planning, Context Management, Knowledge Retrieval, Workflow Orchestration, Multi-Agent Collaboration, System Design, Product Sense
Preferred skills
Semantic Kernel, LangGraph, AutoGen, Vector Databases, Knowledge Graphs, Microservices, Robotics, Autonomous Driving, Industrial Internet of Things (IIoT), Complex Industrial Systems
Technologies
Python, LLMs, RAG, Semantic Kernel, LangGraph, AutoGen, Vector Databases, Knowledge Graphs
Responsibilities
Define product roadmap and technical principles for autonomous site agents; Design and develop agents for operational analysis and anomaly diagnosis; Build cross-system workflows connecting agents to scheduling and digital twin systems; Explore multi-agent collaboration mechanisms; Design human-agent collaboration and control mechanisms; Establish evaluation loops for agent reliability and accuracy.
Seniority
Senior, hands-on IC
