Pytorch and Rag frequently appear together in AI job postings, with 941 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $225K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Rag appear together in 941 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 Pytorch + Rag
AI/ML Engineer683 jobs
Data Scientist109 jobs
AI Software Engineer58 jobs
Research Engineer19 jobs
Research Scientist17 jobs
AI Product Manager17 jobs
Career Impact
Professionals who combine Pytorch and Rag earn a median salary ceiling of
$225K, compared to $222K for Pytorch alone and
$176K for Rag alone. This 13% 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, 941 positions require both Pytorch and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Rag pay an average of $142K to $225K based on 701 postings with disclosed compensation.
Jobs requiring both Pytorch and Rag pay $225K on average (max), compared to $222K for Pytorch alone and $176K for Rag alone. That represents a 13% premium for having both skills.
The most common roles requiring both Pytorch and Rag are: AI/ML Engineer, Data Scientist, 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 941 job postings that list both Pytorch 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.
