SignalsAPI Labs · Press one-pager · September 2026
SignalsAPI AI-Engineering Demand Cut
How employer demand splits across the engineering specialisms — one filtered cut of the corpus per specialism, ranked by deduplicated posting volume.
222,760
deduplicated postings in the last 7 days (+110.8% vs the prior period, 105,659)
AI and machine-learning roles are advertised alongside — not instead of — the data and platform work that puts them into production, so demand for the surrounding specialisms moves with them rather than against them.
SignalsAPI AI-Engineering Demand Cut: demand by cut, September 2026
| Cut | Postings |
|---|---|
| Platform & reliability | 593 |
| AI & machine learning | 473 |
| Data engineering | 405 |
| Data science | 355 |
| Security engineering | 291 |
Methods Box
Every figure below is a count of deduplicated postings — one row per company, job title and country, per the rule below — over the stated window.
We measure the volume of online job postings we observe, deduplicated to one row per company, job title and country, across 55 distinct sources, over a rolling 30-day window.
Repeat and re-posted advertisements collapse to a single row per (company, job title, country). Where several postings share that key, we keep the most complete one — the row that resolves to a named company with an industry, headcount and location — and break remaining ties by the most recent posting date. Note the key is country, not city: two postings for the same role in two cities of one country count once, and the same role in two countries counts twice.
No published cell describes fewer than 5 distinct companies.
What it does not measure:
- Employment levels, hires, or separations. This is a posting-volume measure, not an establishment survey — it is not comparable to, and does not estimate, the figures BLS publishes.
- Vacancies that are never posted online, filled internally, or filled through a network without a public advertisement.
- Postings behind a login, a paywall, or an application flow we do not crawl.
Full methodology, frozen and versioned: jobs.signalsapi.com/method (v1.11.0).
Cite this study
SignalsAPI Labs, “SignalsAPI AI-Engineering Demand Cut”, September 2026. jobs.signalsapi.com/ai-engineering-demand
Licensed CC-BY — reuse with attribution. The figures above are reproducible from https://jobs.signalsapi.com/ai-engineering-demand-data.csv. The postings underneath them are at https://jobs.signalsapi.com/ai-engineering-demand-rows.csv. Full study: https://jobs.signalsapi.com/ai-engineering-demand.
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<a href="https://jobs.signalsapi.com/ai-engineering-demand?surface=embed"><img src="https://jobs.signalsapi.com/ai-engineering-demand-embed.svg" alt="SignalsAPI AI-Engineering Demand Cut — September 2026 edition, published by SignalsAPI Labs" width="600" height="315" loading="lazy"></a>
<p>Source: <a href="https://jobs.signalsapi.com/ai-engineering-demand?surface=embed">SignalsAPI AI-Engineering Demand Cut — SignalsAPI Labs</a>, September 2026. Licensed CC BY 4.0.</p>