大模型对话算法工程师-电商业务
Core
Build and maintain domain knowledge and training data for large language models (LLMs) to optimize performance in e-commerce scenarios.
Role type
Senior LLM Algorithm Engineer (E-commerce)
Builds
Vertical domain-adapted LLMs, RAG systems, and intelligent agent frameworks for e-commerce applications.
Domain
E-commerce / Large Language Models / AI Agents
Deliverable
production ML models
Required skills
LLM training (CT, SFT, RL), Prompt Engineering, Information Retrieval (Query understanding, Semantic indexing), RAG optimization, Dataset construction, Model evaluation, Reinforcement learning for user growth
Preferred skills
Complex agent system deployment, High-impact paper publications (ACL, EMNLP, etc.), Competitive programming awards (ACM, Kaggle)
Technologies
C++, Java, Go, Python, COT, Agent frameworks
Responsibilities
Develop and optimize query understanding and semantic indexing to enhance RAG effectiveness; Define and implement comprehensive LLM evaluation schemes combining manual and automated methods; Collaborate with business experts to build structured prompt systems and optimize reasoning capabilities; Optimize dialogue strategies using reinforcement learning to improve user experience and repurchase rates; Define problem solutions and technical standards to address business pain points and achieve optimal results.
