Senior AI Engineer

Arbiter is reimagining how healthcare works - not by adding more point solutions, but by building the infrastructure that runs the system. We’re designing the intelligent operating spine that unifies data, automates workflows, and aligns incentives across providers, payers, and patients. Our platform embeds AI into real-world care and revenue cycle operations, transforming administrative chaos into orchestrated execution.

We’ve just closed one of the largest early-stage raises in healthtech history - backed by some of the most influential players in the industry who collectively manage millions of lives and billions in spend. Paired with a powerhouse board and executive team, we have the capital, context, and relationships to move quicker than anyone - tackling the problems we know intimately and scaling what works. Our MVP is already live with hundreds of providers managing hundreds of thousands of lives, and improving daily based on real-world feedback.

At Arbiter, engineers don’t just ship features - they shape the foundation of an industry in flux. You’ll work alongside a small, elite team of product leaders and technologists from FAANG and top startup and healthcare orgs to architect systems that handle millions of patient records, build AI agents that execute critical healthcare workflows, and design platforms that major health entities depend on daily. Every line of code you write shapes how a $4T industry operates.

The role is on-site, based in our Boca Raton office - a fast-paced, collaborative environment where great ideas move quickly from whiteboard to production.

Our Engineering Culture & Values: We prioritize Engineering Excellence, Impact-Driven Development, Collaboration Over Ego, and Continuous Growth. We deliver innovative solutions, build fault-tolerant systems, value exceptional ideas, and foster continuous learning.

Pay Transparency

The annual base salary range for this position is $180,000-$240,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based upon work experience, and/or skill level, among other things. This role is also eligible for an equity package.

We’re assembling a team of exceptional builders and are offering hyper-competitive benefit packages, including unlimited PTO, and other great benefits to attract and reward standout performers. If you’re looking for purpose, pace, and the opportunity to modernize one of the largest industries in the world, let’s talk.

Responsibilities of the Senior AI Engineer

• Model Productionization: Lead the deployment of data science models into production.

• Agentic AI Development: Design and deploy AI agents using tools like Google ADK, LangChain, and LangGraph to automate clinical workflows

• System Architecture: Contribute to the design of AI-driven operating systems

• MLOps & Infrastructure: Implement MLOps best practices for AI model management

• Performance & Reliability: Ensure high performance and low latency of AI agents

• Cross-Functional Collaboration: Work with data scientists, clinicians, and product managers to integrate AI solutions

• Mentorship & Innovation: Mentor junior engineers and stay updated on AI advancements

Minimum Qualifications

• 7+ years hands-on experience in AI Engineering, Machine Learning Engineering, MLOps, or a closely related field, with a strong focus on productionizing models

• Proficiency in Python for building complex AI systems and data pipelines

• Experience with AI agents and orchestration tools like LangChain

• Experience with cloud-native AI/ML platforms (GCP)

• Knowledge of MLOps principles

• Understanding of machine learning algorithms

• Experience with testing strategies

• Technical leadership and communication skills

Preferred Qualifications

• Familiarity with Google ADK

• Experience with Large Language Models (LLMs)

• Experience in healthcare or regulated industries

• Building autonomous AI systems

• Unstructured data processing

• Open-source AI/ML contributions