LLM算法工程师-产品研发和工程架构（上海）
Core
End-to-end development and deployment of Large Language Models (LLMs) including data management, training, evaluation, and inference for product applications.
Role type
Senior LLM Algorithm Engineer (Product R&D & Architecture)
Builds
Production-ready LLM applications (language and multi-modal), RAG systems, Agents, and SFT/RLHF pipelines.
Domain
Artificial Intelligence / Large Language Models / NLP
Deliverable
production ML models
Required skills
LLM training (RAG, SFT, RLHF, Prompt engineering), model deployment and distillation, deep learning frameworks (PyTorch, TensorFlow, Keras), pre-trained model expertise (BERT, Transformer, ViT, CLIP), business problem modeling
Preferred skills
High-impact GitHub projects, top-tier competition experience (ACM-ICPC, NOI, IOI), publications in top conferences (KDD, NeurIPS, ACL, EMNLP, IJCAI, AAAI, SIGIR)
Responsibilities
Manage full model lifecycle from data to deployment, research and implement cutting-edge LLM technologies, enhance business iteration effects using AI capabilities, collaborate with product and engineering teams to maximize project ROI
Seniority
Senior, hands-on IC