A recent analysis of 95 U.S. job postings for generative AI roles reveals that the market primarily seeks applied engineers focused on building with existing models, rather than training new ones. The most in-demand combination of skills involves agentic Retrieval-Augmented Generation (RAG) systems, with RAG and agents appearing together in a significant portion of listings. The core technical stack frequently requested includes LLMs, Python, and RAG, with median salaries around $187k for disclosed pay ranges. Notably, most of these roles are not at major tech companies but rather at lesser-known firms, and a U.S. security clearance is a notable, less competitive requirement for some positions. AI
IMPACT Highlights the practical skills and tools most valued in the current generative AI job market, guiding developer focus.
RANK_REASON Analysis of job postings providing insights into market demand for AI skills.
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