Senior AI Engineer — Scale Healthcare AI (Remote)

Arine; United States; Remote; USD 170,000 - 190,000; Full time

Job summary

Arine, a San Francisco-based healthcare AI company, is seeking a Senior AI Engineer to design, build, and deploy AI-powered automation that enhances clinician efficiency and patient outcomes. You will work with large-scale healthcare data, prebuilt LLMs, and custom predictive models to integrate AI into real-world clinical workflows.

The role emphasizes end-to-end AI product development, collaboration with clinicians and engineers, and delivering scalable, production-ready features with robust

Qualifications

• 5+ years of experience developing and shipping AI-driven applications, with hands-on experience integrating LLMs and predictive models into real-world products.
• Strong software engineering skills – clean, scalable Python code and experience with ML frameworks and cloud-based infrastructure.

Responsibilities

• Architect and deploy scalable AI solutions to improve clinical efficiency and personalized medication management.
• Integrate LLMs and models to automate workflows and elevate clinical decision making.
• Collaborate with engineering, product, and clinical teams to deliver production-ready AI features.
• Improve AI-driven interventions by optimizing prioritization and patient outreach using data-driven intelligence.
• Work with clinicians, data scientists, and engineers to turn AI into real-world solutions.
• Establish deployment, monitoring, and continuous iteration practices for reliability and scalability.

Skills

Python

LLMs experience

NLP techniques

Data-driven decision making

Cross-functional collaboration

Autonomous/product-focused

Tools

TensorFlow

PyTorch

AWS ML services

Job description

Arine, a San Francisco-based healthcare AI company, is seeking a Senior AI Engineer to design, build, and deploy AI-powered automation that enhances clinician efficiency and patient outcomes. You will work with large-scale healthcare data, prebuilt LLMs, and custom predictive models to integrate AI into real-world clinical workflows.

The role emphasizes end-to-end AI product development, collaboration with clinicians and engineers, and delivering scalable, production-ready features with robust