Senior Applied AI Engineer
Raydar · Remote · US only
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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Senior
- Where you can live
- US only
- Skills and tools
- machine learning
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $180K–400K/yr
- Experience
- Senior
- Employer publication date
- 20 October 2026
- First recorded by Psst
- 2 November 2026
- Last checked at the source
- 2 November 2026
About the job
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
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