Pytorch and Rag frequently appear together in AI job postings, with 151 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $216K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Rag appear together in 151 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 Engineer108 jobs
Data Scientist22 jobs
AI Architect7 jobs
AI Software Engineer5 jobs
Research Scientist3 jobs
Research Engineer3 jobs
Career Impact
Professionals who combine Pytorch and Rag earn a median salary ceiling of
$216K, compared to $222K for Pytorch alone and
$214K for Rag alone. This 1% discount
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, 151 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 $139K to $216K based on 105 postings with disclosed compensation.
Jobs requiring both Pytorch and Rag pay $216K on average (max), compared to $222K for Pytorch alone and $214K for Rag alone. That represents a 1% discount for having both skills.
The most common roles requiring both Pytorch and Rag are: AI/ML Engineer, Data Scientist, AI Architect, AI Software 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 151 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.