Live roles

Applied AI Engineer jobs (2026)

Listings refreshed

There are 241 open Applied AI Engineer roles in our index of AI-native companies, with a median total compensation of $200k. The list below is a live sample, refreshed daily; below it is what these roles pay, the skills they ask for, and how to stand out.

Open roles
241
Median total comp
$200k
New this week
29

Latest Applied AI Engineer openings

A live sample from the 241 open roles — click any row for the full posting.

What Applied AI Engineer jobs pay

The 241 open Applied AI Engineer roles in our index cluster around a median total compensation of $200k, though the band is wide: junior postings start well below that and staff-level roles run far above it. Compensation tracks seniority and how close the role sits to a company's core AI product.

For the full breakdown — percentiles, pay by seniority, and how base splits from equity — see the Applied AI Engineer salary guide. This page is the live hiring side of the same data: who is hiring right now, and what they are asking for.

Skills Applied AI Engineer roles ask for

We parse the skills named in every live posting and rank them by how often they appear. For Applied AI Engineer roles, the most-requested skills right now:

SkillAppears in
Python89%
Prompting71%
Evals52%
Full-stack34%

Treat the top two or three as table stakes — they show up in the large majority of postings, so a resume that does not surface them clearly will struggle past automated screening. The long-tail skills are where you differentiate.

Where Applied AI Engineer roles are

Remote roles have widened the map, but the AI-native hiring centre of gravity is still a handful of hubs. How the current openings break down:

LocationShare of roles
Remote36%
San Francisco17%
Seattle15%
New York13%
London11%
Palo Alto8%

If you are open to remote, you are competing in a larger pool but against a much wider set of openings. Filtering by location narrows the list but also narrows the competition.

What these roles look for

Across Applied AI Engineer postings, the recurring requirements cluster into a few themes:

  • Shipped, not studied — evidence you have taken Python and Prompting work into production.
  • Ownership — the more senior the posting, the more it expects you to own systems end to end.
  • Communication — AI-native teams move fast and write a lot; clear written reasoning is consistently named.
  • Judgment under ambiguity — comfort making calls when the model behaviour, not the spec, is the hard part.

How to stand out for Applied AI Engineer roles

The bar is less about credentials than demonstrated capability. A targeted application — a resume that mirrors the posting's language and a portfolio that proves you have shipped the named skills — clears screening far more reliably than a generic one.

That is the gap Landed is built to close: it scores your readiness against the live posting, tells you exactly which skills and signals you are missing, and drills the interview until you walk in ready.

Ready to land a Applied AI Engineer role?

Landed scores your readiness against real AI-native roles and drills the interview until you walk in ready.

Frequently asked

How many Applied AI Engineer jobs are open right now?

Our index currently tracks about 241 live Applied AI Engineer roles across AI-native companies, refreshed daily.

What do Applied AI Engineer jobs pay?

Median total comp is around $200k. See the Applied AI Engineer salary guide for percentiles and pay by seniority.

What skills do Applied AI Engineer roles require?

Python, Prompting, Evals appear in the large majority of postings, with Full-stack as a common differentiator.

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