Fine-tuning and Llama frequently appear together in AI job postings, with 89 current openings requiring both skills. The most common role for this combination is AI Product Manager. Jobs requiring both skills pay up to $241K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Fine-tuning and Llama appear together in 89 current AI job postings, most commonly for AI Product Manager 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 Fine-tuning + Llama
AI Product Manager60 jobs
AI/ML Engineer12 jobs
Research Scientist9 jobs
Prompt Engineer5 jobs
AI Architect1 jobs
Data Engineer1 jobs
Career Impact
Professionals who combine Fine-tuning and Llama earn a median salary ceiling of
$241K, compared to $228K for Fine-tuning alone and
$237K for Llama alone. This 4% premium
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, 89 positions require both Fine-tuning and Llama skills. The most common role for this combination is AI Product Manager.
Jobs requiring both Fine-tuning and Llama pay an average of $124K to $241K based on 78 postings with disclosed compensation.
Jobs requiring both Fine-tuning and Llama pay $241K on average (max), compared to $228K for Fine-tuning alone and $237K for Llama alone. That represents a 4% premium for having both skills.
The most common roles requiring both Fine-tuning and Llama are: AI Product Manager, AI/ML Engineer, Research Scientist, Prompt 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 89 job postings that list both Fine-tuning and Llama
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.
