📄 中文摘要
在2026年，大多数需要构建AI驱动功能的公司并不需要机器学习研究人员，而是需要能够将大型语言模型（LLM）集成到产品中的工程师。许多公司在招聘时往往混淆了AI研究与AI集成的需求，导致招聘到的候选人多为拥有研究背景的博士，而非实际能够交付可靠功能的后端工程师。这种错误的招聘策略使得许多职位空缺长时间得不到填补，根本原因在于职位描述的不准确。
2026年无AI研究人员的AI集成：工程团队实际需要什么
📄 English Summary
AI Integration Without AI Researchers: What Engineering Teams Actually Need in 2026
In 2026, most companies looking to build AI-powered features do not require machine learning researchers but rather engineers capable of integrating large language models (LLMs) into their products. Many companies confuse the need for AI research with AI integration, resulting in candidates with research backgrounds, often PhD holders, rather than backend engineers who can deliver reliable features. This hiring mistake leads to prolonged vacancies, primarily due to inaccurate job descriptions.