资深大模型应用开发工程师-飞书项目
Core
Design and implement LLM-based Agents and RAG applications for business scenarios, optimizing stability, success rates, and costs.
Role type
Senior LLM Application Engineer (Agentic Systems & RAG)
Builds
Production-ready Agent systems, Knowledge Q&A assistants, and LLM-integrated business services
Domain
Enterprise productivity tools / Large Language Models / Agentic AI
Deliverable
production ML models
Required skills
Backend engineering, Golang, Agentic architecture, RAG implementation, Prompt engineering, System architecture design
Preferred skills
Experience with LLM application engineering, Knowledge base construction, Evaluation体系建设
Technologies
Golang, LLM frameworks, RAG pipelines, Vector search, Prompt management tools
Responsibilities
Design and implement Agents for task planning and tool invocation; Build and optimize RAG modules for retrieval and ranking; Architect LLM-based business services; Design and tune Prompts with data-driven evaluation; Translate business requirements into iterative product features