Principal AI Engineer

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. 

Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams.

Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers. 

Why is Arine a Great Place to Work?:

Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.

Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.

Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually.

Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category.

The Role:

We’re hiring a Principal AI Engineer to lead the evolution of Arine’s decision intelligence systems. In this role, you’ll serve as a key architect and hands-on technical leader, driving the design, implementation, and refinement of AI-powered systems that support real-time, personalized decision-making.

You’ll partner closely with AI leadership, product managers, clinicians, and engineers to shape the long-term architecture of our platform and deliver systems that are scalable, resilient, and aligned with our mission. This is a high-impact role for someone who excels at navigating complexity, bridging ML and systems thinking, and influencing teams through deep technical insight and collaboration.

What You'll be Doing:

• Own the architecture and technical roadmap for Arine’s next-generation AI decision systems
• Design and implement scalable, intelligent frameworks that blend ML models, rules, and data-driven logic
• Lead technical design discussions, make high-stakes tradeoffs, and drive execution across multiple teams
• Collaborate with stakeholders across engineering, data science, clinical, and product to ensure solutions are clinically meaningful and technically sound
• Ship reliable, maintainable code that integrates AI into operational workflows at scale
• Set and evolve best practices around AI system design, observability, model integration, and governance
• Mentor senior engineers and help grow technical excellence across the AI team

Who You Are and What You Bring:

• 10+ years of experience in machine learning, AI systems, or data-driven backend engineering
• Expertise in building production-grade ML systems or intelligent decision engines
• Deep understanding of how to blend models, business rules, and structured data to power real-world workflows
• Strong Python engineering skills and familiarity with ML frameworks and modern data tools (e.g., PyTorch, scikit-learn, Airflow, SQL, AWS)
• Proven ability to drive complex technical initiatives end-to-end: from