FAISS and RAG frequently appear together in AI job postings, with 54 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $193K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The combination of RAG and FAISS is at the heart of modern RAG architectures. RAG handles the generation and orchestration layer, while FAISS provides the knowledge retrieval backbone. Companies building AI-powered search, chatbots, and knowledge systems need engineers skilled in both.
Top Roles Requiring FAISS + RAG
AI/ML Engineer51 jobs
Prompt Engineer2 jobs
AI Architect1 jobs
Career Impact
Professionals who combine FAISS and RAG earn a median salary ceiling of
$193K, compared to $192K for FAISS alone and
$224K for RAG 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, 54 positions require both FAISS and RAG skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both FAISS and RAG pay an average of $105K to $193K based on 48 postings with disclosed compensation.
Jobs requiring both FAISS and RAG pay $193K on average (max), compared to $192K for FAISS alone and $224K for RAG alone. That represents a 7% discount for having both skills.
The most common roles requiring both FAISS and RAG are: AI/ML Engineer, Prompt Engineer, AI Architect. 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 54 job postings that list both FAISS 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.