Principal AI Engineer

Summary

Join Arine, a rapidly growing healthcare technology company, as a Principal AI Engineer. Lead the evolution of Arine’s decision intelligence systems, serving as a key architect and hands-on technical leader. Drive the design, implementation, and refinement of AI-powered systems supporting real-time, personalized decision-making. Partner with AI leadership, product managers, clinicians, and engineers to shape the platform's long-term architecture. Deliver scalable, resilient systems aligned with Arine's mission of improving patient care. This high-impact role requires navigating complexity, bridging ML and systems thinking, and influencing teams through technical expertise and collaboration. Arine offers a dynamic role with unparalleled learning and growth opportunities.

Requirements

• 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 scoping and design through implementation and iteration
• Track record of influencing engineering and product strategy through deep technical leadership
• Excellent communication skills and ability to navigate ambiguity with curiosity and pragmatism
• Ability to pass a background check
• Must live in and be eligible to work in the United States

Responsibilities

• 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

Preferred Qualifications

• Experience in healthcare , healthtech, or other regulated environments
• Familiarity with decision support systems, recommendation frameworks, or hybrid rule/ML architectures
• Experience with knowledge graphs or structured representation systems (not required, but valued)
• Familiarity with LLMs , prompt engineering , or intelligent agents, particularly in the context of supporting workflows or summarizing structured/unstructured information
• Technical mentorship or cross-functional leadership experience

Benefits

The base salary range for this position is: $190,000-$220,000/year max