Senior Software Engineer, Applied AI

Role overview

A senior engineering role on an Applied AI team within a health, wellness, and fitness organization. The position sits inside the Engineering function and focuses on building AI-driven software capabilities that support the company's health-related products and services. The role is remote and based in the United States.

Responsibilities

- Design, build, and ship production-grade software that applies AI and machine learning techniques to real product and business problems. - Contribute to the architecture, code quality, and technical direction of Applied AI initiatives within the engineering organization. - Collaborate with product, data, and engineering peers to translate healthcare-domain needs into reliable AI-powered features. - Participate in code review, testing, and operational practices to keep AI-driven systems robust and maintainable. - Help evolve the team's tooling, models, and infrastructure as the Applied AI surface area grows.

Requirements

- Several years of professional software engineering experience, including meaningful work on AI- or ML-driven systems. - Strong proficiency in at least one modern programming language and experience shipping production code. - Solid understanding of applied machine learning concepts, model integration patterns, and software engineering best practices. - Ability to work independently in a remote, US-based engineering environment. - Comfort operating within regulated or sensitive domains such as health, wellness, and fitness.

Nice to have

- Prior experience applying AI in healthcare, wellness, or adjacent consumer-facing products. - Familiarity with the engineering tooling, model deployment, and evaluation practices used by modern Applied AI teams.