Llama and Rag frequently appear together in AI job postings, with 144 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $191K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Llama and Rag appear together in 144 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 Llama + Rag
AI/ML Engineer106 jobs
Data Scientist14 jobs
AI Software Engineer13 jobs
Prompt Engineer4 jobs
AI Agent Developer3 jobs
AI Architect2 jobs
Career Impact
Professionals who combine Llama and Rag earn a median salary ceiling of
$191K, compared to $191K for Llama alone and
$214K for Rag alone. This 6% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 144 positions require both Llama and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Llama and Rag pay an average of $132K to $191K based on 98 postings with disclosed compensation.
Jobs requiring both Llama and Rag pay $191K on average (max), compared to $191K for Llama alone and $214K for Rag alone. That represents a 6% discount for having both skills.
The most common roles requiring both Llama and Rag are: AI/ML Engineer, Data Scientist, AI Software Engineer, Prompt Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 144 job postings that list both Llama 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.