大语言模型/多模态大语言模型策略工程师（J93927）
Core
Optimizing large language models (LLMs), multimodal LLMs, and AI agents, focusing on prompt engineering, training, fine-tuning, inference optimization, and agentic reasoning.
Role type
Senior IC machine-learning engineer (multimodal LLMs & agents)
Builds
Visual-language models, cross-modal content generation systems, and agentic content production pipelines
Domain
Artificial Intelligence / Large Language Models / Multimodal Learning
Deliverable
production ML models
Required skills
Prompt engineering, LLM training and fine-tuning, agentic reasoning, reinforcement learning, RAG, visual-language model construction, cross-modal alignment, Python, C++, PyTorch, PaddlePaddle, deep learning frameworks
Preferred skills
Top-tier conference publications in machine learning or NLP
Technologies
PyTorch, PaddlePaddle, Python, C++
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