Gemini + Rag Jobs in 2026

Gemini and Rag frequently appear together in AI job postings, with 94 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $194K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

94
Job Count
$132K
Avg Min Salary
$194K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Gemini + Rag?

AI job market dashboard showing open roles by category

Gemini and Rag appear together in 94 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 Engineer 70 jobs
AI Software Engineer 12 jobs
AI Architect 4 jobs
Prompt Engineer 3 jobs
Data Scientist 2 jobs
AI Product Manager 1 jobs

Career Impact

Professionals who combine Gemini and Rag earn a median salary ceiling of $194K, compared to $197K for Gemini alone and $214K for Rag alone. This 6% discount reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.

Top Companies Hiring for Gemini + Rag

Salary Comparison: Combo vs Individual Skills

Gemini Only
$197K
212 jobs
-2% vs combo
Gemini + Rag
$194K
94 jobs
Rag Only
$214K
855 jobs
-9% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 94 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 $132K to $194K based on 64 postings with disclosed compensation.
Jobs requiring both Gemini and Rag pay $194K on average (max), compared to $197K for Gemini alone and $214K for Rag alone. That represents a 6% discount for having both skills.
The most common roles requiring both Gemini and Rag are: AI/ML Engineer, AI Software Engineer, AI Architect, Prompt 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 94 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.