RAG and Weaviate frequently appear together in AI job postings, with 60 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $194K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The combination of RAG and Weaviate is at the heart of modern RAG architectures. RAG handles the generation and orchestration layer, while Weaviate provides the knowledge retrieval backbone. Companies building AI-powered search, chatbots, and knowledge systems need engineers skilled in both.
Top Roles Requiring RAG + Weaviate
AI/ML Engineer54 jobs
AI Software Engineer2 jobs
AI Architect1 jobs
LLM Engineer1 jobs
RAG Engineer1 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine RAG and Weaviate earn a median salary ceiling of
$194K, compared to $224K for RAG alone and
$193K for Weaviate alone. This 7% 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, 60 positions require both RAG and Weaviate skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both RAG and Weaviate pay an average of $110K to $194K based on 53 postings with disclosed compensation.
Jobs requiring both RAG and Weaviate pay $194K on average (max), compared to $224K for RAG alone and $193K for Weaviate alone. That represents a 7% discount for having both skills.
The most common roles requiring both RAG and Weaviate are: AI/ML Engineer, AI Software Engineer, AI Architect, 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 60 job postings that list both RAG and Weaviate
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.
