Prompt engineering
Designing and testing the instructions and examples given to a language model so it performs a task reliably.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 16 of 47companies naming it
- open roles naming it
- 26open roles naming it
- of those based in NYC
- 17of those based in NYC
- median posted base (n=13)
- $175kmedian posted base (n=13)
What Prompt engineering means
Prompt engineering is the practice of writing the instructions, examples, and formatting a model receives so that it does a task consistently. Done seriously it is iterative and measured: a prompt is changed, run against a set of test cases, and kept only if the scores improve.
As a standalone job title it has largely faded — US search interest in “prompt engineering jobs” fell by roughly two-thirds in the year to September 2026 — but as a skill it has spread into nearly every role that touches a model. The adjacent term gaining ground is context engineering, which treats the whole context window, not just the instruction text, as the thing being designed.
Prompt engineering in New York job posts
16 of the 47 New York AI companies we track name Prompt engineering in at least one open role today, across 26 postings. 17 of those are based in New York; the rest are remote or in the companies’ other offices.
Engineering roles make up 50% of the postings that name it, with the rest spread across other functions.
How to read it
Rarely the headline requirement now; more often one line in a list with RAG, tool use, and evals. Outside engineering — operations, accounting, marketing — it signals that the team expects you to build your own model-driven workflows rather than wait for engineering to do it.
What these roles pay
Midpoints of 13 distinct salary ranges posted on New York roles that name Prompt engineering. 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 $215k. 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.
Trend
We began extracting this term from posting text on September 20, 2026. Job descriptions disappear when a role is filled, so the series cannot be backfilled; a trend line appears here once a week of data exists.
Who names it
Open roles naming Prompt engineering, by company.
- AlphaSense5
- K Health3
- Normal Computing3
- Clay2
- Headway2
- Anterior1
- April1
- Basis1
- Comet1
- ElevenLabs1
- EvolutionIQ1
- Hebbia1
Also: Patlytics, Runway, Sixfold, SmarterDx.
Which roles
The same postings, by function and by seniority.
- Engineering13
- Product6
- GTM3
- Operations2
- Finance & Legal1
- Design1
- Mid12
- Senior6
- Staff/Principal6
- Manager2
Named alongside Prompt engineering
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 16 companies pair the two.
Open roles naming Prompt engineering
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.
- AI Engineer ↗Normal Computing · New York City
- Client Partner ↗Hebbia · NYC
- Deal Desk ↗Clay · New York
- Frontier Strategist ↗Anterior · New York
- Member of Accounting Staff ↗Basis · New York Office
- Revenue Operations Manager (Process) ↗Headway · Remote - New York
- Senior AI / ML Engineer (LLMs) ↗EvolutionIQ · New York, NY or Remote
- Senior Product Manager - Clinician Experience ↗K Health · New York, NY
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.
Prompt engineering — common questions
What does Prompt engineering mean in an AI job posting?
Designing and testing the instructions and examples given to a language model so it performs a task reliably. Rarely the headline requirement now; more often one line in a list with RAG, tool use, and evals. Outside engineering — operations, accounting, marketing — it signals that the team expects you to build your own model-driven workflows rather than wait for engineering to do it.
How many New York AI companies are hiring for Prompt engineering?
As of September 20, 2026, 16 of the 47 New York AI companies we track name Prompt engineering in the description of at least one open role, across 26 postings (17 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Prompt engineering pay in New York?
Across 13 distinct posted salary ranges on New York roles naming Prompt engineering, the median midpoint is $175k base, with the middle half between $163k and $218k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.
Which skills are asked for alongside Prompt engineering?
In the same postings, the terms most distinctively paired with Prompt engineering are Tool use, RAG, MLOps, Vector search, Evals. 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.
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