Location: Remote (North America)   |   Full-Time   |   $120,000 - $180,000
AI Machine Learning Healthcare Python System Design AI Engineer
**About Neon Health:** Neon Health is revolutionizing patient access to life-saving drugs by leveraging AI. We are building a $200B+ company at the intersection of agentic AI and healthcare transformation. Our technology automates critical workflows like benefit verification, prior authorization, and patient onboarding, making healthcare more accessible and efficient.

**About The Role:** As an Applied AI Systems Engineer at Neon Health, you will play a key role in developing and deploying AI systems that solve real-world healthcare challenges. You will work on cutting-edge projects that directly impact patient outcomes and the pharmaceutical industry. This role involves designing, building, and scaling AI models that automate patient access workflows, reducing the burden on human workers and accelerating time-to-therapy.

**Key Responsibilities:**
- Design and implement AI systems for healthcare workflows
- Collaborate with cross-functional teams to define requirements
- Optimize AI models for accuracy and efficiency
- Deploy and monitor AI systems in production
- Contribute to the technical roadmap and innovation in AI healthcare applications
- Ensure compliance with healthcare regulations and standards

**Required Skills:**
- Expertise in machine learning and AI technologies
- Experience with healthcare data and regulatory compliance
- Strong programming skills in Python, Java, or similar
- Understanding of agentic AI systems and their applications
- Ability to work in a fast-paced, collaborative environment

**Ideal Candidate:**
You are a passionate AI engineer with a track record of building impactful healthcare solutions. You have a deep understanding of AI and machine learning, and you thrive in an environment that values innovation and rapid iteration. Join us to make a difference in healthcare automation and help ensure medical decisions are based on clinical needs—not financial constraints.
Post Date: July 2, 2025