Multimodal and RAG frequently appear together in AI job postings, with 95 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $245K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Multimodal and RAG appear together in 95 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Multimodal + RAG
AI/ML Engineer48 jobs
Research Scientist22 jobs
Research Engineer8 jobs
Prompt Engineer5 jobs
LLM Engineer5 jobs
Data Scientist4 jobs
Career Impact
Professionals who combine Multimodal and RAG earn a median salary ceiling of
$245K, compared to $244K for Multimodal alone and
$224K for RAG alone. This 5% premium
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 95 positions require both Multimodal and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Multimodal and RAG pay an average of $155K to $245K based on 84 postings with disclosed compensation.
Jobs requiring both Multimodal and RAG pay $245K on average (max), compared to $244K for Multimodal alone and $224K for RAG alone. That represents a 5% premium for having both skills.
The most common roles requiring both Multimodal and RAG are: AI/ML Engineer, Research Scientist, Research Engineer, Prompt Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 95 job postings that list both Multimodal and RAG
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.