The rise of large language models (LLMs) has created a new job role: the Prompt Engineer. Despite growing interest in this position, we still do not fully understand what skills this new job role requires or how common these jobs are. In this paper, we present a data-driven analysis of global prompt engineering job trends on LinkedIn. We take a snapshot of the evolving AI workforce by analyzing 20,662 job postings on LinkedIn, including 72 prompt engineer positions, to learn more about this emerging role. We find that prompt engineering is still rare (less than 0.5% of sampled job postings) but has a unique skill profile. Prompt engineers need AI knowledge (22.8%), prompt design skills (18.7%), good communication (21.9%), and creative problem-solving (15.8%) skills. These requirements significantly differ from those of established roles, such as data scientists and machine learning engineers. Our findings help job seekers, employers, and educational institutions in better understanding the emerging field of prompt engineering.

翻译：随着大型语言模型（LLMs）的兴起，催生了一个新的职业角色：提示工程师。尽管对该职位的关注度日益增长，我们仍不完全理解这一新角色需要何种技能，以及这类职位的普遍程度。本文通过对领英平台上全球提示工程师职位趋势进行数据驱动分析，揭示了这一新兴岗位的特征。我们通过分析领英上的20,662个职位招聘信息（其中包含72个提示工程师岗位），捕捉了AI人才市场的动态演变。研究发现，提示工程师岗位目前仍属稀缺（占样本职位比例低于0.5%），但其技能组合具有独特性。提示工程师需要具备AI知识（22.8%）、提示设计技能（18.7%）、良好的沟通能力（21.9%）以及创造性问题解决能力（15.8%）。这些要求与数据科学家、机器学习工程师等成熟岗位存在显著差异。本研究为求职者、雇主和教育机构更好地理解提示工程这一新兴领域提供了参考依据。