Keras and Rag frequently appear together in AI job postings, with 160 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $235K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Keras and Rag appear together in 160 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 Engineer144 jobs
AI Software Engineer5 jobs
Data Scientist5 jobs
Research Scientist2 jobs
AI Architect1 jobs
AI Product Manager1 jobs
Career Impact
Professionals who combine Keras and Rag earn a median salary ceiling of
$235K, compared to $231K for Keras alone and
$176K for Rag alone. This 16% 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, 160 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 $125K to $235K based on 143 postings with disclosed compensation.
Jobs requiring both Keras and Rag pay $235K on average (max), compared to $231K for Keras alone and $176K for Rag alone. That represents a 16% premium for having both skills.
The most common roles requiring both Keras and Rag are: AI/ML Engineer, AI Software Engineer, Data Scientist, Research Scientist. 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 160 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.
