# Senior Applied AI Engineer at Curai

- Company: Curai
- What the company does: Stay healthy from home. Affordable primary care designed around you. Get healthier with a doctor who works with you every step of the way. Backed by General Catalyst.
- Company website: https://www.curaihealth.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote
- Work setup: Remote
- Pay: $175K to $200K base salary per year (USD)
- Posted: 2026-07-06
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/curai/a5e85c45-912f-425a-8955-a52153c3d077
- Page: https://www.1752.vc/careers/jobs/curai-senior-applied-ai-engineer/

## About the role

At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare delivery by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. Patients interact with advanced AI systems at every step of their care and follow-up. Licensed physicians review each case with the patient for the clinical decision in our integrated virtual clinic.

## What they're looking for

- Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain while partnering with senior engineers on broader architectural direction
- Own problems end-to-end: scope the problem with clinicians and product partners, build datasets and evaluations, iterate on modeling, and ship to production with the right monitoring and guardrails
- Develop robust evaluation frameworks — offline benchmarks, human-in-the-loop review, online experiments — that give us confidence our models are safe, accurate, and improving over time
- Build and improve the platform that lets the team move quickly: data pipelines, training and inference infrastructure, prompt and model management, and tooling for clinical reviewers
- Partner closely with clinicians, product, and engineering to translate medical and operational requirements into ML problems and ship measurable improvements to patient and clinician experience
- Set technical direction for your area, mentor other engineers, and raise the bar on engineering and scientific rigor. The scope of leadership scales with seniority

Tags: AI/ML Engineering