Fine-tuning and Gemini frequently appear together in AI job postings, with 16 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $206K 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 Gemini. As AI applications grow more complex — multi-model pipelines, agent frameworks, and retrieval-augmented systems — engineers need fluency across multiple LLM tools. The 16 postings requiring both reflect this growing complexity.
Top Roles Requiring Fine-tuning + Gemini
AI/ML Engineer8 jobs
Prompt Engineer5 jobs
AI Software Engineer2 jobs
AI Safety1 jobs
Career Impact
Professionals who combine Fine-tuning and Gemini earn a median salary ceiling of
$206K, compared to $228K for Fine-tuning alone and
$242K for Gemini alone. This 12% 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, 16 positions require both Fine-tuning and Gemini skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine-tuning and Gemini pay an average of $143K to $206K based on 7 postings with disclosed compensation.
Jobs requiring both Fine-tuning and Gemini pay $206K on average (max), compared to $228K for Fine-tuning alone and $242K for Gemini alone. That represents a 12% discount for having both skills.
The most common roles requiring both Fine-tuning and Gemini are: AI/ML Engineer, Prompt Engineer, AI Software Engineer, AI Safety. 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 16 job postings that list both Fine-tuning and Gemini
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.
