Kubernetes and RAG frequently appear together in AI job postings, with 199 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $228K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Deploying LLM applications in production requires both RAG expertise and Kubernetes infrastructure skills. Kubernetes provides the compute, scaling, and serving layer, while RAG handles the AI application logic. The 199 roles listing both reflect the growing need for engineers who can bridge AI development and cloud operations.
Top Roles Requiring Kubernetes + RAG
AI/ML Engineer105 jobs
MLOps Engineer23 jobs
Prompt Engineer19 jobs
AI Software Engineer18 jobs
LLM Engineer12 jobs
Data Engineer8 jobs
Career Impact
Professionals who combine Kubernetes and RAG earn a median salary ceiling of
$228K, compared to $230K for Kubernetes alone and
$224K for RAG alone. This 0% 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, 199 positions require both Kubernetes and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Kubernetes and RAG pay an average of $139K to $228K based on 166 postings with disclosed compensation.
Jobs requiring both Kubernetes and RAG pay $228K on average (max), compared to $230K for Kubernetes alone and $224K for RAG alone. That represents a 0% premium for having both skills.
The most common roles requiring both Kubernetes and RAG are: AI/ML Engineer, MLOps Engineer, Prompt Engineer, AI Software Engineer. 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 199 job postings that list both Kubernetes 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.
