AI Agent工程师-集团信息系统
Core
Design and develop Data Agent core systems integrating LLM reasoning, knowledge graphs, and vector retrieval to enable automated data insights and Q&A in intelligent BI scenarios.
Role type
Senior AI Agent Engineer (Data Infrastructure & Intelligent BI)
Builds
Scalable Agent frameworks, high-availability Agent runtime systems, and NL2SQL/DSL/Code generation pipelines for enterprise data infrastructure.
Domain
Enterprise Data Infrastructure, Intelligent Business Intelligence (BI), Large Language Model (LLM) Applications
Deliverable
production ML models
Required skills
LLM application engineering, Agentic Engineering (planning-execution-reflection, multi-agent collaboration), RAG architecture design, distributed systems, microservices, model fine-tuning, in-context learning, schema linking, self-correction, prompt optimization, function calling, vector database optimization, knowledge graph integration
Preferred skills
Experience with CoT/ToT/ReAct reasoning paradigms, long-context handling, algorithm innovation for hallucination reduction, security governance (injection prevention, access control)
Technologies
LLMs, Knowledge Graphs, Vector Databases, RAG, Microservices, Distributed Systems
Responsibilities
Design and develop core Data Agent systems; build high-availability Agent runtime systems with complex task orchestration; optimize NL2SQL/DSL/Code generation algorithms; research and apply frontier LLM algorithms for reasoning and planning in data analysis.
Seniority
Senior, hands-on IC
