Keras and RAG frequently appear together in AI job postings, with 36 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Keras and RAG appear together in 36 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 Keras + RAG
AI/ML Engineer23 jobs
Data Scientist10 jobs
RAG Engineer1 jobs
AI Engineering Manager1 jobs
Research Scientist1 jobs
Career Impact
Professionals who combine Keras and RAG earn a median salary ceiling of
$204K, compared to $202K for Keras alone and
$224K for RAG alone. This 4% 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, 36 positions require both Keras and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Keras and RAG pay an average of $120K to $204K based on 32 postings with disclosed compensation.
Jobs requiring both Keras and RAG pay $204K on average (max), compared to $202K for Keras alone and $224K for RAG alone. That represents a 4% discount for having both skills.
The most common roles requiring both Keras and RAG are: AI/ML Engineer, Data Scientist, RAG Engineer, AI Engineering Manager. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 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 36 job postings that list both Keras 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.
