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Senior Applied AI Engineer

Curai HealthUnited States🌍 Remote
Full-timeSenior
$175k - $200k
per year
👁️ 0 views📝 0 applicationsPosted 7/14/2026Expires 9/12/2026
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Job Description

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. We ground our approach in rigorous research, continuous learning, and a deep commitment to clinical integrity.

We focus on making a real impact: improving health outcomes, expanding access to care, and setting new standards for what trustworthy, patient-centered healthcare is. Read some of our latest publications .

About the Senior Applied AI Engineer role We are hiring Senior Applied AI Engineers across a range of seniority levels to push the frontier of applied AI in healthcare.

As an MTS on the engineering team, you will design, build, and ship ML and LLM systems that directly shape how clinicians and patients interact with our platform.

You will work end-to-end: framing the problem, exploring data, training and evaluating models, productionizing inference, and measuring real-world clinical and product impact.

The bar is high and the surface area is large; we are looking for engineers who want significant ownership and are excited to operate where research meets production.

What You'll Do

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.

Design, build, train, evaluate and improve advanced machine learning and LLM-based systems for patient and provider-facing products (e. g. , conversational AI, personalization, user understanding, clinical decision support, chronic care management). Own problems end-to-end:

Required Skills

Machine Learning

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