Gemini and Rag frequently appear together in AI job postings, with 891 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $218K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gemini and Rag appear together in 891 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 Gemini + Rag
AI/ML Engineer639 jobs
Data Engineer157 jobs
AI Architect31 jobs
AI Software Engineer30 jobs
Data Scientist16 jobs
AI Product Manager8 jobs
Career Impact
Professionals who combine Gemini and Rag earn a median salary ceiling of
$218K, compared to $216K for Gemini alone and
$176K for Rag alone. This 11% 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, 891 positions require both Gemini and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Rag pay an average of $123K to $218K based on 806 postings with disclosed compensation.
Jobs requiring both Gemini and Rag pay $218K on average (max), compared to $216K for Gemini alone and $176K for Rag alone. That represents a 11% premium for having both skills.
The most common roles requiring both Gemini and Rag are: AI/ML Engineer, Data Engineer, AI Architect, AI Software 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 891 job postings that list both Gemini 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.