Neuronify

LLMs (large language models)

Models trained on very large text corpora to predict the next token, which turns out to be enough to write, summarize, extract, translate, and reason over language.

Hiring data as of November 4, 2026 · refreshed daily

companies naming it
38 of 47companies naming it
open roles naming it
240open roles naming it
of those based in NYC
128of those based in NYC
median posted base (n=80)
$215kmedian posted base (n=80)

What LLMs means

A large language model is a neural network trained to predict the next token in a sequence, at a scale where that single skill generalizes into writing, summarizing, classifying, extracting structured data, and working through multi-step problems. GPT, Claude, Gemini, and Llama are all LLMs. Most companies never train one; they call a provider’s model through an API and build the product around it.

That shift is why the term shows up far outside research teams. Working with LLMs in 2026 mostly means application engineering: choosing a model for the cost and latency you can afford, shaping what goes into the context window, checking outputs, and handling the cases where the model is confidently wrong.

LLMs in New York job posts

38 of the 47 New York AI companies we track name LLMs in at least one open role today, across 240 postings. 128 of those are based in New York; the rest are remote or in the companies’ other offices.

Engineering roles make up 51% of the postings that name it, with the rest spread across other functions.

How to read it

When a posting names LLMs without naming a provider or a technique, it is describing the product surface, not the skill. Read the rest of the description for the real requirement — evals, retrieval, agents, or serving — and expect the interview to probe whether you have shipped something on a model rather than prompted one.

Go deeper: how to choose a model for a specific task, in the Neuronify AI Field Guide.

What these roles pay

$185k25th percentile
$215kMedian
$250k75th percentile

Midpoints of 80 distinct salary ranges posted on New York roles that name LLMs. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $216k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.

Companies naming LLMs, daily

Count of companies with at least one open role naming the term. We read between 46 and 47 companies a day over this period, so a move of one or two is noise.

0255038Sep 20Nov 4Sep 20: 40 companiesSep 21: 40 companiesSep 22: 40 companiesSep 23: 40 companiesSep 24: 39 companiesSep 25: 37 companiesSep 26: 37 companiesSep 27: 37 companiesSep 28: 37 companiesSep 29: 37 companiesSep 30: 38 companiesOct 1: 38 companiesOct 2: 38 companiesOct 3: 38 companiesOct 4: 38 companiesOct 5: 38 companiesOct 6: 38 companiesOct 7: 38 companiesOct 8: 38 companiesOct 9: 37 companiesOct 10: 37 companiesOct 11: 37 companiesOct 12: 37 companiesOct 13: 37 companiesOct 14: 37 companiesOct 15: 37 companiesOct 16: 37 companiesOct 17: 37 companiesOct 18: 37 companiesOct 19: 37 companiesOct 20: 37 companiesOct 21: 36 companiesOct 22: 36 companiesOct 23: 36 companiesOct 24: 36 companiesOct 25: 36 companiesOct 26: 37 companiesOct 27: 37 companiesOct 28: 37 companiesOct 29: 37 companiesOct 30: 38 companiesOct 31: 38 companiesNov 1: 38 companiesNov 2: 38 companiesNov 3: 37 companiesNov 4: 38 companies
View as table
Datecompanies
2026-09-2040
2026-09-2140
2026-09-2240
2026-09-2340
2026-09-2439
2026-09-2537
2026-09-2637
2026-09-2737
2026-09-2837
2026-09-2937
2026-09-3038
2026-10-0138
2026-10-0238
2026-10-0338
2026-10-0438
2026-10-0538
2026-10-0638
2026-10-0738
2026-10-0838
2026-10-0937
2026-10-1037
2026-10-1137
2026-10-1237
2026-10-1337
2026-10-1437
2026-10-1537
2026-10-1637
2026-10-1737
2026-10-1837
2026-10-1937
2026-10-2037
2026-10-2136
2026-10-2236
2026-10-2336
2026-10-2436
2026-10-2536
2026-10-2637
2026-10-2737
2026-10-2837
2026-10-2937
2026-10-3038
2026-10-3138
2026-11-0138
2026-11-0238
2026-11-0337
2026-11-0438

Who names it

Open roles naming LLMs, by company.

Also: EliseAI, EvolutionIQ, Runway, Mirage (fka Captions), Hyperscience, K Health, Maven Clinic, Spade, Tabs, Alloy, Anterior, Attentive, Grow Therapy, Pinecone, Preql, Tennr, Andela, April, Arthur, Comet, Hume AI, Kustomer, Norm Ai, Rillet, Sixfold, Vic.ai.

Which roles

The same postings, by function and by seniority.

  • Engineering123
  • GTM48
  • Product17
  • Research16
  • Operations13
  • Other11
  • Mid147
  • Senior52
  • Staff/Principal28
  • Manager6
  • Entry5
  • Director2

Named alongside LLMs

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 38 companies pair the two.

Open roles naming LLMs

A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.

On the AI in NYC Show

How this is counted

Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.

The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.

Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.

LLMs — common questions

What does LLMs mean in an AI job posting?

Models trained on very large text corpora to predict the next token, which turns out to be enough to write, summarize, extract, translate, and reason over language. When a posting names LLMs without naming a provider or a technique, it is describing the product surface, not the skill. Read the rest of the description for the real requirement — evals, retrieval, agents, or serving — and expect the interview to probe whether you have shipped something on a model rather than prompted one.

How many New York AI companies are hiring for LLMs?

As of November 4, 2026, 38 of the 47 New York AI companies we track name LLMs in the description of at least one open role, across 240 postings (128 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for LLMs pay in New York?

Across 80 distinct posted salary ranges on New York roles naming LLMs, the median midpoint is $215k base, with the middle half between $185k and $250k. The same figure for all New York engineering postings is $216k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.

Which skills are asked for alongside LLMs?

In the same postings, the terms most distinctively paired with LLMs are Prompt engineering, RAG, Vector search, Tool use, MLOps. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.

Need someone who has actually shipped this?

A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.

Start a project briefJoin the expert network