Time since we first saw it
Day 48
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
New York, NY
Live, first seen by us 48 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and scale data pipelines for AI capabilities
Build model and agent orchestration infrastructure
Create reliable, reusable solutions that let teams move quickly
Partner across teams to bring AI solutions into production
build and scale the core infrastructure supporting Welltower’s AI capabilities, including data pipelines, model and agent orchestration, and APIs
model and agent orchestration, and APIs
creating reliable, reusable solutions that enable teams to move quickly
partnering across teams to bring AI solutions into production
The ideal candidate is a hands-on engineer who is comfortable building from the ground up
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 48
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
New York, NY
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting