Embeddings and Rag frequently appear together in AI job postings, with 216 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $202K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Embeddings and Rag appear together in 216 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 Embeddings + Rag
AI/ML Engineer160 jobs
AI Software Engineer20 jobs
Data Scientist12 jobs
Data Engineer6 jobs
AI Architect5 jobs
MLOps Engineer4 jobs
Career Impact
Professionals who combine Embeddings and Rag earn a median salary ceiling of
$202K, compared to $207K for Embeddings alone and
$210K for Rag alone. This 3% discount
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, 216 positions require both Embeddings and Rag skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Embeddings and Rag pay an average of $133K to $202K based on 140 postings with disclosed compensation.
Jobs requiring both Embeddings and Rag pay $202K on average (max), compared to $207K for Embeddings alone and $210K for Rag alone. That represents a 3% discount for having both skills.
The most common roles requiring both Embeddings and Rag are: AI/ML Engineer, AI Software Engineer, Data Scientist, Data Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 4,318 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of August 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 216 job postings that list both Embeddings 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.