Llama and Pgvector frequently appear together in AI job postings, with 33 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $221K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Llama and Pgvector appear together in 33 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Llama + Pgvector
AI/ML Engineer24 jobs
AI Software Engineer8 jobs
AI Consultant1 jobs
Career Impact
Professionals who combine Llama and Pgvector earn a median salary ceiling of
$221K, compared to $189K for Llama alone and
$196K for Pgvector alone. This 15% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 33 positions require both Llama and Pgvector skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Llama and Pgvector pay an average of $124K to $221K based on 29 postings with disclosed compensation.
Jobs requiring both Llama and Pgvector pay $221K on average (max), compared to $189K for Llama alone and $196K for Pgvector alone. That represents a 15% premium for having both skills.
The most common roles requiring both Llama and Pgvector are: AI/ML Engineer, AI Software Engineer, AI Consultant. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 33 job postings that list both Llama and Pgvector
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.
