大模型应用开发工程师-飞书项目
Core
Design and implement AI Agents and RAG-based knowledge assistant applications for business scenarios, optimizing stability, success rates, and costs.
Role type
Senior LLM Application Engineer (Agentic Systems & RAG)
Builds
Production-ready AI Agents, RAG knowledge bases, and LLM-integrated business systems
Domain
Enterprise productivity tools (Feishu/Lark) + Large Language Models
Deliverable
production ML models
Required skills
Backend engineering, Agentic architecture, RAG pipeline engineering, Prompt engineering, System architecture design
Preferred skills
Golang, Java, Python, Model evaluation & optimization
Technologies
LLMs, RAG, Vector search, Prompt frameworks
Responsibilities
Design and implement AI Agents with task planning and tool calling; Build and tune RAG modules for knowledge retrieval; Architect LLM-integrated business systems; Optimize prompts and manage versions; Translate business requirements into iterative product features