Go and RAG frequently appear together in AI job postings, with 117 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $222K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Go provides the programming foundation, while RAG represents the specialized LLM tooling that's reshaping how software gets built. Roles requiring both typically involve building LLM-powered applications — from chatbots and agents to content generation and code assistants. 117 current postings list this combination.
Top Roles Requiring Go + RAG
AI/ML Engineer90 jobs
MLOps Engineer9 jobs
Data Scientist5 jobs
LLM Engineer4 jobs
AI Software Engineer4 jobs
AI Engineering Manager2 jobs
Career Impact
Professionals who combine Go and RAG earn a median salary ceiling of
$222K, compared to $222K for Go alone and
$224K for RAG alone. This 0% discount
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, 117 positions require both Go and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Go and RAG pay an average of $141K to $222K based on 106 postings with disclosed compensation.
Jobs requiring both Go and RAG pay $222K on average (max), compared to $222K for Go alone and $224K for RAG alone. That represents a 0% discount for having both skills.
The most common roles requiring both Go and RAG are: AI/ML Engineer, MLOps Engineer, Data Scientist, 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 117 job postings that list both Go 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.