Principal Engineer, Applied AI (Fullstack/Backend)

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we’re making better health outcomes easier to achieve.

Hims & Hers is a public company, traded on the NYSE under the ticker symbol “HIMS.” To learn more about the brand and offerings, you can visit and . For information on the company’s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit .

About the Role

AI is disrupting our stack from the inside, and we're looking for a Principal Engineer to architect that transformation from day one. Applied AI is a small, fast-moving team building a fresh take on how patient care should happen, from intake through ongoing care companionship. While much of the team is focused on research and rapid experimentation, this role is the productionization counterpart — the person who takes what's working and makes it robust, scalable, and reliable enough to run in production at the core of the patient experience.

You'll be the key architect of the patient-facing experience end-to-end, owning how the services across the stack fit together. This is a hands-on role for someone who thinks about robustness, scalability, and debuggability from day one, and who can balance building for today with architecting for where the product needs to go over the next several years.

Key Responsibilities

• Own Service Architecture

Own the overall architecture for the Applied AI stack — how individual services blend together into a coherent, end-to-end patient-facing experience, from intake through ongoing companion interactions.

• Productionize AI-Driven Experiences

Partner with research-focused teammates who move fast on experimentation, and take their work to production: hardening services for uptime, reliability, and scale. Bring engineering rigor to a team that's optimized for speed of iteration.

• Reliability & Operational Excellence

Instill best practices around debugging, observability, and operational readiness. Design for robustness and scalability from day one rather than retrofitting it later.

• **Mentorship & Talent Growth

**Mentor senior technical leaders, elevating engineering capabilities across the organization. Champion initiatives that foster talent density, engineering rigor, and a culture of continuous learning