What is Large Language Models (LLMs) and how common is it in AI job postings?

Large Language Models (LLMs) is a skill in the "LLM & Foundation Models" category. It currently appears in 1,933 active AI roles across 172 companies in our index.

Which companies are hiring for Large Language Models (LLMs)?

The top employers with active AI roles mentioning Large Language Models (LLMs) are: Amazon (399), Google (138), Capital One (124), NVIDIA (97), Apple (68).

Is demand for Large Language Models (LLMs) growing?

Over the last 12 weeks, 1,263 new AI postings mentioned Large Language Models (LLMs). Demand is rising — up 154% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Large Language Models (LLMs) used?

Roles requiring Large Language Models (LLMs) are concentrated in: agents (54%), serving infrastructure (15%), application (12%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Large Language Models (LLMs)?

Job postings that mention Large Language Models (LLMs) most often also require: Machine Learning, Python, Agentic Systems, Generative AI, Software Engineering.

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Large Language Models (LLMs)

1,933 active AI roles across 172 companies mention Large Language Models (LLMs). Category: LLM & Foundation Models.

Top employers

Amazon399Big Tech Google138Big Tech Capital One124Banking NVIDIA97Semiconductors Apple68Big Tech JPMorgan Chase60Banking OpenAI54AI Frontier Adobe43Enterprise Microsoft42Big Tech Mistral AI34AI Frontier ByteDance34Big Tech Anthropic33AI Frontier Salesforce31Enterprise

Demand trend

New AI postings mentioning Large Language Models (LLMs) per week — 1,263 total over 12 weeks.

Function

All Engineering · 1486 Research · 327 Product · 121

Status

All Active only

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AI score Recently posted Company A–Z

1934 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
JPMorgan Chase	Generative AI Director	Banking	9	L6
Microsoft	Research Intern - Artificial Intelligence	Big Tech	9	L1
Amazon	2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics	Big Tech	9	L4
Cohere	Member of Technical Staff - Sovereign AI	AI Frontier	9	L4
Amazon	Applied Scientist, LLM Code Agents, Kiro Science	Big Tech	9	L2
OpenAI	Forward Deployed Engineer (FDE) - NYC	AI Frontier	9	L6
Lila Sciences	ML Research Scientist I/II, Multimodal Data Extraction	AI Frontier	9	L2
Scale AI	Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI	Data AI	9	L2
Scale AI	Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

Frequently asked questions

What is Large Language Models (LLMs) and how common is it in AI job postings?
Large Language Models (LLMs) is a skill in the "LLM & Foundation Models" category. It currently appears in 1,933 active AI roles across 172 companies in our index.
Which companies are hiring for Large Language Models (LLMs)?
The top employers with active AI roles mentioning Large Language Models (LLMs) are: Amazon (399), Google (138), Capital One (124), NVIDIA (97), Apple (68).
Is demand for Large Language Models (LLMs) growing?
Over the last 12 weeks, 1,263 new AI postings mentioned Large Language Models (LLMs). Demand is rising — up 154% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Large Language Models (LLMs) used?
Roles requiring Large Language Models (LLMs) are concentrated in: agents (54%), serving infrastructure (15%), application (12%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Large Language Models (LLMs)?
Job postings that mention Large Language Models (LLMs) most often also require: Machine Learning, Python, Agentic Systems, Generative AI, Software Engineering.

Large Language Models (LLMs)

Top employers

Demand trend

Frequently asked questions

Demand trend

Large Language Models (LLMs)

Top employers

Often paired with

Frequently asked questions