Rag and Tensorflow frequently appear together in AI job postings, with 779 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $227K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Rag and Tensorflow appear together in 779 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 Rag + Tensorflow
AI/ML Engineer587 jobs
Data Scientist88 jobs
AI Software Engineer40 jobs
Research Scientist20 jobs
AI Architect14 jobs
MLOps Engineer8 jobs
Career Impact
Professionals who combine Rag and Tensorflow earn a median salary ceiling of
$227K, compared to $176K for Rag alone and
$223K for Tensorflow alone. This 14% 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, 779 positions require both Rag and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Rag and Tensorflow pay an average of $140K to $227K based on 577 postings with disclosed compensation.
Jobs requiring both Rag and Tensorflow pay $227K on average (max), compared to $176K for Rag alone and $223K for Tensorflow alone. That represents a 14% premium for having both skills.
The most common roles requiring both Rag and Tensorflow are: AI/ML Engineer, Data Scientist, AI Software Engineer, Research Scientist. 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 779 job postings that list both Rag and Tensorflow
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.