Pytorch + Rag Jobs in 2026

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.

151
Job Count
$139K
Avg Min Salary
$216K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Pytorch + Rag?

AI job market dashboard showing open roles by category

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 Engineer 108 jobs
Data Scientist 22 jobs
AI Architect 7 jobs
AI Software Engineer 5 jobs
Research Scientist 3 jobs
Research Engineer 3 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.

Top Companies Hiring for Pytorch + Rag

Salary Comparison: Combo vs Individual Skills

Pytorch Only
$222K
545 jobs
-3% vs combo
Pytorch + Rag
$216K
151 jobs
Rag Only
$214K
855 jobs
+1% vs combo

Frequently Asked Questions

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.