LangChain and RAG frequently appear together in AI job postings, with 216 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $177K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The LLM ecosystem increasingly requires combining tools like LangChain 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 216 postings requiring both reflect this growing complexity.
Top Roles Requiring LangChain + RAG
AI/ML Engineer172 jobs
Data Scientist9 jobs
LLM Engineer8 jobs
MLOps Engineer7 jobs
Prompt Engineer6 jobs
RAG Engineer5 jobs
Career Impact
Professionals who combine LangChain and RAG earn a median salary ceiling of
$177K, compared to $181K for LangChain alone and
$224K for RAG alone. This 12% 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, 216 positions require both LangChain and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both LangChain and RAG pay an average of $132K to $177K based on 181 postings with disclosed compensation.
Jobs requiring both LangChain and RAG pay $177K on average (max), compared to $181K for LangChain alone and $224K for RAG alone. That represents a 12% discount for having both skills.
The most common roles requiring both LangChain and RAG are: AI/ML Engineer, Data Scientist, LLM Engineer, MLOps 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 216 job postings that list both LangChain 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.