Senior Applied AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-20). Last seen at its source 1h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States, Canada.
What the ad says
…Remote (…) US or Canada…
Pay
$180k–400k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 10d ago · last seen 1h ago
The listing
About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Prototype and test new ways of applying generative AI inside business software, taking ideas from early experiments toward real product use. The work combines engineering depth, quantitative reasoning and product judgment, with ownership of projects from concept to delivery.
What you'll do
- Build quick proofs of concept to test how far AI can be taken within data-driven workflows.
- Design automated systems that evaluate and improve model output with minimal manual input.
- Explore methods for pushing the limits of AI-generated video, including more lifelike synthetic people.
- Experiment with ways to generate image and brand assets that stay consistent with a given visual identity.
- Tie experimental work to practical customer and product uses rather than academic publication.
- Carry projects from early exploration through to execution.
Requirements
What we're looking for
- A history of designing and growing server-side systems or sophisticated AI products, ideally starting from a blank slate.
- Evidence of fast advancement toward lead or staff-level engineering responsibility at respected technology employers.
- Time spent at fast-moving technology companies with strong peers.
- Stable job history, with roles typically lasting about a year and a half or longer over the last four positions.
- Solid engineering skills, especially in system architecture or probabilistic modeling, plus strong quantitative reasoning.
- Good product instincts and a creative, experimental approach to applications built on large language models.
- Curiosity and drive; prior hands-on work with LLMs is not required.
Bonus points
- Solid grounding in core machine learning and deep learning concepts.
- Hands-on work with generative image or video technology.
- Experience in data science, or in training and fine-tuning models.
- A computer science degree from a highly selective university.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 400,000 per year
- Equity
Location and work model
- Remote (US or Canada)
- Full-time