智能体应用技术算法工程师
Core
Design and develop core modules for an agent application platform, including orchestration, tool calling, memory management, multi-agent collaboration, and workflow engines for complex task planning and adaptive execution.
Role type
Senior IC machine-learning engineer (agent systems)
Builds
Autonomous agent platforms and data intelligence agents for analysis, governance, and retrieval
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Python, Large Language Model application development, RAG, Prompt Engineering, Harness Engineering, Loop Engineering, Function Calling, Agent orchestration, System design
Preferred skills
Text2SQL, Knowledge Graphs, Semantic layer modeling, Performance tuning, Observability
Technologies
LangChain, LangGraph, GPT, Claude, Open-source LLMs
Responsibilities
Design and develop core platform modules for agent orchestration and multi-agent collaboration; Build data intelligence agents to enable natural language to decision-making workflows; Engineer and optimize agent applications for real-world deployment and performance; Explore and implement innovations in agent self-evolution and automated optimization.