Senior AI Engineer, Prior Authorization

November 25

Apply Now

Receive Emails with Similar Jobs

Arbiter

WebsiteLinkedInAll Job Openings

SaaS • Healthcare Insurance

Arbiter is a care orchestration platform that unifies patients, payers, and providers on a single intelligent system to automate referrals, prior authorizations, scheduling, and care optimization. The modular SaaS embeds into existing clinical workflows, consolidates clinical, financial, and policy data, and uses AI-driven routing and automation to improve referral matching, reduce administrative burden, and ensure timely, cost-effective care. Arbiter is built by industry operators and integrates with EMRs and payer systems to deliver closed-loop execution across the care continuum.

11 - 50 employees

Founded 2025

☁️ SaaS

⚕️ Healthcare Insurance

📋 Description

• Model Productionization: Lead the engineering efforts to take cutting-edge data science models from research and development to scalable, production-ready systems, ensuring robustness, performance, and reliability. • Agentic AI Development: Design, develop, and deploy intelligent AI agents and multi-agent systems using frameworks like Google ADK, LangChain, and LangGraph. • System Architecture: Contribute to the architectural design of our AI-driven operating system, focusing on modularity, scalability, and integration points for AI services within our broader platform and into existing partner workflows (e.g., EHRs). • Performance & Reliability: Ensure the high performance, low latency, and fault tolerance of AI agents and inference pipelines. • Cross-Functional Collaboration: Work closely with data scientists, clinical domain experts, product managers, and other engineering teams. • Mentorship & Innovation: Actively mentor junior AI engineers, contribute to our internal knowledge base, and stay abreast of the latest advancements in AI, machine learning, and agentic systems to continuously innovate our offerings. • Hiring & Onboarding: Participate in interviewing and onboarding new team members.

🎯 Requirements

• 8+ years of deep, hands-on experience in AI Engineering, Machine Learning Engineering, MLOps, or a closely related field, with a strong focus on productionizing models. • Exceptional proficiency in Python for building complex AI systems and data pipelines. • Demonstrated experience designing, building, and deploying AI agents and multi-agent systems using frameworks like LangChain, LangGraph, or similar agent orchestration tools. Experience with retrieval-based agents (e.g., leveraging LTM, case-based reasoning) is a strong plus. • Profound understanding and hands-on experience with cloud-native AI/ML platforms, especially Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery ML, Dataflow). • Experience building systems for prior authorization workflows in healthcare. • Basic understanding of machine learning algorithms, model training, evaluation, and inference. • Intimate knowledge of and ability to implement unit, integration, and functional testing strategies. • Experience providing technical leadership and guidance, and thinking strategically and analytically to solve problems. • Friendly communication skills and ability to work well in a diverse team setting. • Demonstrated experience working with many cross-functional partners. • Demonstrated experience leading a software product or component vision and delivery plan.

🏖️ Benefits

• Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity. • Generous Paid Time Off (PTO): To ensure a healthy work-life balance. • Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family. • Life and Disability Insurance: Providing financial security. • Simple IRA Matching: To support your long-term financial goals. • Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning. • Wellness Programs: Initiatives to support your physical and mental health.