LlamaIndex and RAG frequently appear together in AI job postings, with 35 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $199K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The LLM ecosystem increasingly requires combining tools like LlamaIndex 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 35 postings requiring both reflect this growing complexity.
Top Roles Requiring LlamaIndex + RAG
AI/ML Engineer27 jobs
Prompt Engineer3 jobs
RAG Engineer2 jobs
LLM Engineer1 jobs
MLOps Engineer1 jobs
Data Engineer1 jobs
Career Impact
Professionals who combine LlamaIndex and RAG earn a median salary ceiling of
$199K, compared to $214K for LlamaIndex alone and
$224K for RAG alone. This 9% 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, 35 positions require both LlamaIndex and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both LlamaIndex and RAG pay an average of $138K to $199K based on 17 postings with disclosed compensation.
Jobs requiring both LlamaIndex and RAG pay $199K on average (max), compared to $214K for LlamaIndex alone and $224K for RAG alone. That represents a 9% discount for having both skills.
The most common roles requiring both LlamaIndex and RAG are: AI/ML Engineer, Prompt Engineer, RAG 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 35 job postings that list both LlamaIndex 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.
