Jax and Rag frequently appear together in AI job postings, with 132 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.
Jax and Rag appear together in 132 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 Jax + Rag
AI/ML Engineer98 jobs
AI Product Manager11 jobs
AI Software Engineer10 jobs
Research Engineer6 jobs
Data Scientist2 jobs
Research Scientist2 jobs
Career Impact
Professionals who combine Jax and Rag earn a median salary ceiling of
$245K, compared to $248K for Jax alone and
$176K for Rag alone. This 16% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 132 positions require both Jax and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Jax and Rag pay an average of $163K to $245K based on 112 postings with disclosed compensation.
Jobs requiring both Jax and Rag pay $245K on average (max), compared to $248K for Jax alone and $176K for Rag alone. That represents a 16% premium for having both skills.
The most common roles requiring both Jax and Rag are: AI/ML Engineer, AI Product Manager, AI Software Engineer, Research Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 132 job postings that list both Jax 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.
