Llama and RAG frequently appear together in AI job postings, with 121 current openings requiring both skills. The most common role for this combination is AI Product Manager. Jobs requiring both skills pay up to $237K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Llama and RAG appear together in 121 current AI job postings, most commonly for AI Product Manager 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 Product Manager60 jobs
AI/ML Engineer45 jobs
Prompt Engineer4 jobs
LLM Engineer3 jobs
Data Scientist3 jobs
Data Engineer2 jobs
Career Impact
Professionals who combine Llama and RAG earn a median salary ceiling of
$237K, compared to $237K for Llama alone and
$224K for RAG alone. This 3% 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, 121 positions require both Llama and RAG skills. The most common role for this combination is AI Product Manager.
Jobs requiring both Llama and RAG pay an average of $129K to $237K based on 97 postings with disclosed compensation.
Jobs requiring both Llama and RAG pay $237K on average (max), compared to $237K for Llama alone and $224K for RAG alone. That represents a 3% premium for having both skills.
The most common roles requiring both Llama and RAG are: AI Product Manager, AI/ML Engineer, Prompt Engineer, LLM 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 121 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.