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Building products and systems powered by large language models and generative AI.
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Artificial Intelligence engineering, in the modern recruiting context, is about building applications and systems powered by foundation models. AI Engineers are product engineers who use LLMs, multimodal models, and generative AI as building blocks. The field has expanded dramatically since 2022, creating one of the highest-demand roles in tech. The work spans RAG systems, agent frameworks, evaluation pipelines, and production deployment of LLM-powered features.
Highlighted pills — primary tools most commonly listed in job descriptions for this discipline.
"AI Engineer" is one of the most inflation-prone titles in tech right now. Many roles and resumes called "AI Engineer" range from senior LLM application engineers to someone who wrapped a ChatGPT API call. The key screening question: "What AI-powered systems are running in production today, and how many users do they serve?" Production scale and ownership are the signal.