Fine-tuning and OpenAI frequently appear together in AI job postings, with 65 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $169K 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 OpenAI. As AI applications grow more complex — multi-model pipelines, agent frameworks, and retrieval-augmented systems — engineers need fluency across multiple LLM tools. The 65 postings requiring both reflect this growing complexity.
Top Roles Requiring Fine-tuning + OpenAI
AI/ML Engineer53 jobs
Prompt Engineer8 jobs
AI Software Engineer2 jobs
LLM Engineer2 jobs
Career Impact
Professionals who combine Fine-tuning and OpenAI earn a median salary ceiling of
$169K, compared to $228K for Fine-tuning alone and
$183K for OpenAI alone. This 18% 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, 65 positions require both Fine-tuning and OpenAI skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine-tuning and OpenAI pay an average of $137K to $169K based on 54 postings with disclosed compensation.
Jobs requiring both Fine-tuning and OpenAI pay $169K on average (max), compared to $228K for Fine-tuning alone and $183K for OpenAI alone. That represents a 18% discount for having both skills.
The most common roles requiring both Fine-tuning and OpenAI are: AI/ML Engineer, Prompt Engineer, AI Software Engineer, 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 65 job postings that list both Fine-tuning and OpenAI
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.
