Machine Learning Engineer

Overview HealthEdge ® offers AI-powered operational infrastructure for health insurance companies, guaranteeing an enduring financial edge in an increasingly competitive market.

We're experiencing strong market momentum, with a growing number of health plans choosing HealthEdge to modernize their operations and compete more effectively. As we expand, we're investing in the people who power that growth, making this a pivotal moment to join us and shape the future of healthcare technology.

Learn more at HealthEdge . com. As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge 's engineering, product, and delivery organizations, including customer-facing operations.

You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end.

Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale.

Key Responsibilities

AI Platform Development: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment.

Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding back to the AI Platform. Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance.

Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done. Research