大模型算法工程师（AI应用）-Data AML
Core
Develop industry-leading Large Language Model (LLM) Context Engineering products including vector databases, knowledge bases, and memory systems, while optimizing models for Agent Memory, parameterized compression, multimodal capabilities, and self-evolution.
Role type
Senior LLM Algorithm Engineer (Context Engineering & Application)
Builds
Context Engineering products, AI search, AI recommendation, and AI Q&A systems
Domain
Artificial Intelligence / Large Language Models / NLP
Deliverable
production ML models
Required skills
PyTorch, TensorFlow, RL algorithms, Agent systems, Multimodal models, Data synthesis, Model post-training
Preferred skills
Publications in top-tier conferences (ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR, ICCV, KDD), Awards in programming/AI competitions (ACM/ICPC, NOI/IOI, Top Coder, Kaggle), Leading high-impact LLM projects
Technologies
PyTorch, TensorFlow
Responsibilities
Optimize vector databases, knowledge bases, and memory systems for LLM applications; Explore and implement AI search, recommendation, and Q&A products; Follow academic and industrial LLM advancements to drive model and underlying innovations.
Seniority
Senior, hands-on IC