秒哒大模型算法实习生（J93721）
Core
Design and optimize algorithms for a low-code/no-code development platform for large language models (LLMs), focusing on RAG, Agents, and code generation to enhance developer experience and application efficiency.
Role type
Intern, LLM application algorithm engineer
Builds
Low-code/no-code platform features for LLM applications
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Python, Deep Learning frameworks (PaddlePaddle/Pytorch/TensorFlow), LLM principles (GPT/LLaMA/DeepSeek), RAG, Agent design, Prompt Engineering, Fine-tuning, Vector retrieval, Knowledge base construction
Responsibilities
Design and optimize algorithms for LLM application platforms; Research and apply deep learning algorithms for business scenarios; Collaborate with product and engineering teams to define algorithm solutions; Optimize algorithm efficiency and performance.