Fine Tuning and Rag frequently appear together in AI job postings, with 17 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $286K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Fine Tuning and Rag appear together in 17 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 Fine Tuning + Rag
AI/ML Engineer13 jobs
AI Software Engineer1 jobs
AI Architect1 jobs
Research Engineer1 jobs
Research Scientist1 jobs
Career Impact
Professionals who combine Fine Tuning and Rag earn a median salary ceiling of
$286K, compared to $353K for Fine Tuning alone and
$215K for Rag alone. This 1% premium
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, 17 positions require both Fine Tuning and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine Tuning and Rag pay an average of $183K to $286K based on 13 postings with disclosed compensation.
Jobs requiring both Fine Tuning and Rag pay $286K on average (max), compared to $353K for Fine Tuning alone and $215K for Rag alone. That represents a 1% premium for having both skills.
The most common roles requiring both Fine Tuning and Rag are: AI/ML Engineer, AI Software Engineer, AI Architect, Research Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 4,075 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 17 job postings that list both Fine Tuning 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.