Fine-tuning and LlamaIndex frequently appear together in AI job postings, with 20 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
The LLM ecosystem increasingly requires combining tools like Fine-tuning and LlamaIndex. As AI applications grow more complex — multi-model pipelines, agent frameworks, and retrieval-augmented systems — engineers need fluency across multiple LLM tools. The 20 postings requiring both reflect this growing complexity.
Top Roles Requiring Fine-tuning + LlamaIndex
AI/ML Engineer10 jobs
Research Scientist9 jobs
LLM Engineer1 jobs
Career Impact
Professionals who combine Fine-tuning and LlamaIndex earn a median salary ceiling of
$210K, compared to $228K for Fine-tuning alone and
$214K for LlamaIndex alone. This 5% 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, 20 positions require both Fine-tuning and LlamaIndex skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine-tuning and LlamaIndex pay an average of $133K to $210K based on 15 postings with disclosed compensation.
Jobs requiring both Fine-tuning and LlamaIndex pay $210K on average (max), compared to $228K for Fine-tuning alone and $214K for LlamaIndex alone. That represents a 5% discount for having both skills.
The most common roles requiring both Fine-tuning and LlamaIndex are: AI/ML Engineer, Research 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 20 job postings that list both Fine-tuning and LlamaIndex
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.
