Unifying and automating referral workflows so that every patient reaches the right provider at the right time and cost.

Senior AI Engineer, Prior Authorization

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50Since 2025Company Site LinkedIn

Location

United States

Posted

110 days ago

Salary

$180K - $240K / year

Bachelor Degree8 yrs expEnglishBig QueryCloudGoogle Cloud PlatformPython

Job 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.

Job 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.