Senior AI Engineer — Remote, Healthcare AI Impact

Arine; San Francisco (CA); Hybrid; USD 170,000 - 190,000; Full time

Job summary

Arine, a San Francisco-based healthcare AI company, is expanding its AI-driven automation to scale clinical impact and improve medication adherence. As a Senior AI Engineer, you will design, build, and deploy AI-powered solutions that integrate into real-world workflows with clinicians, data scientists, and engineers.

You will work with large-scale healthcare data, leverage prebuilt LLMs, and develop custom models to deliver measurable health and cost outcomes.

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 ML frameworks (TensorFlow, PyTorch) with cloud-based infrastructure (AWS).
• Proven experience with AI-driven automation and deploying ML models to production workflows.
• Familiarity with modern NLP techniques (few-shot prompting, retrieval-augmented generation) and evaluation trade-offs.
• Collaborative, data-driven, and mission-focused professional who works with clinicians, engineers, and product teams.

Responsibilities

• Architect and deploy scalable AI solutions that enhance clinical efficiency and medication management.
• Integrate state-of-the-art LLMs and predictive models to automate workflows and improve decision-making.
• Collaborate with engineering and product teams to deliver production-ready AI features in clinical settings.
• Enhance AI interventions using data-driven insights and patient outreach strategies.
• Establish robust model deployment, monitoring, and iteration practices for reliability.

Skills

Python

PyTorch

TensorFlow

AWS

LLMs

NLP

Job description

Arine, a San Francisco-based healthcare AI company, is expanding its AI-driven automation to scale clinical impact and improve medication adherence. As a Senior AI Engineer, you will design, build, and deploy AI-powered solutions that integrate into real-world workflows with clinicians, data scientists, and engineers.

You will work with large-scale healthcare data, leverage prebuilt LLMs, and develop custom models to deliver measurable health and cost outcomes.