OpenAI and RAG frequently appear together in AI job postings, with 170 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $178K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The LLM ecosystem increasingly requires combining tools like OpenAI and RAG. As AI applications grow more complex — multi-model pipelines, agent frameworks, and retrieval-augmented systems — engineers need fluency across multiple LLM tools. The 170 postings requiring both reflect this growing complexity.
Top Roles Requiring OpenAI + RAG
AI/ML Engineer128 jobs
AI Software Engineer15 jobs
Prompt Engineer11 jobs
LLM Engineer6 jobs
MLOps Engineer4 jobs
Data Scientist4 jobs
Career Impact
Professionals who combine OpenAI and RAG earn a median salary ceiling of
$178K, compared to $183K for OpenAI alone and
$224K for RAG alone. This 13% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 170 positions require both OpenAI and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both OpenAI and RAG pay an average of $132K to $178K based on 148 postings with disclosed compensation.
Jobs requiring both OpenAI and RAG pay $178K on average (max), compared to $183K for OpenAI alone and $224K for RAG alone. That represents a 13% discount for having both skills.
The most common roles requiring both OpenAI and RAG are: AI/ML Engineer, AI Software Engineer, Prompt Engineer, LLM 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 170 job postings that list both OpenAI 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.
