AI/ML Engineer vs LLM Engineer

Head-to-head comparison of salary, required skills, and career outlook for two of the most in-demand AI roles.

Quick Verdict

Choose LLM Engineer if you want higher compensation — it pays 8% more on average. Choose AI/ML Engineer if you want more open positions (967 vs 116 currently listed).

Side-by-Side Comparison

DimensionAI/ML EngineerLLM Engineer
Open Positions967116
Avg Salary Range$142K–$214K$144K–$233K
Median Salary$212K$223K
75th Percentile$257K$258K
Remote %27%25%
Experience MixSenior 92%, Mid 5%, Entry 2%Senior 88%, Mid 12%
Top SkillRAGRAG

Skills Comparison

AI/ML Engineer Top Skills

RAGPythonAWSRustAzureAI AgentsPyTorchGCP

LLM Engineer Top Skills

RAGAWSRustAI AgentsPythonGCPAzureJavaScript

Skills You'd Need for Both Roles

These skills appear in top-8 for both AI/ML Engineer and LLM Engineer: AI Agents, AWS, Azure, GCP, Python, RAG, Rust. If you have these skills, you're well-positioned for either path.

Salary Deep Dive

AI/ML Engineer LLM Engineer
25th Percentile
$158K
$202K
Median
$212K
$223K
Average
$214K
$233K
75th Percentile
$257K
$258K

LLM Engineer pays 8% more on average than AI/ML Engineer.

Based on 745 and 95 job postings with disclosed compensation, respectively.

Top Hiring Companies

AI/ML Engineer

Amazon.com122 jobs
Accenture82 jobs
Crowe LLP35 jobs
Google32 jobs

Career Path

AI/ML Engineer Career Path

Typical progression: Staff ML Engineer, ML Architect, VP of Engineering. Focuses on building production ML systems.

LLM Engineer Career Path

Typical progression: Senior LLM Engineer, AI Architect, Head of AI. Focuses on building LLM-powered applications and infrastructure.

Switching Between Roles

With 7 overlapping skills (87% of top skills), transitioning between these roles is feasible with targeted upskilling.

AI/ML Engineer vs LLM Engineer FAQ

LLM Engineer pays more on average, with a mean salary ceiling of $233K compared to $214K for AI/ML Engineer — a 8% difference. However, top AI/ML Engineer roles at leading companies can match or exceed average LLM Engineer compensation.
Yes, there is meaningful skill overlap. Both roles share these top skills: AI Agents, AWS, Azure, GCP, Python, RAG, Rust. You would need to develop expertise in LLM Engineer-specific skills like domain-specific tools. Lateral moves are common in the AI industry.
AI/ML Engineer roles are 27% remote, while LLM Engineer roles are 25% remote. Both offer comparable remote flexibility.
Shared top skills include: AI Agents, AWS, Azure, GCP, Python, RAG, Rust. These transferable skills make it easier to pivot between the two roles. Python and general ML knowledge are common foundations for both.

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