Principal Engineer (Applied Artificial Intelligence, Fullstack/Backend)

Join our fast-moving Applied AI team as a Principal Engineer. You'll be the key architect of the patient-facing experience, owning the overall architecture for the Applied AI stack. This hands-on role requires a focus on robustness, scalability, and debuggability from day one. You'll also mentor senior technical leaders, navigate ambiguity, and drive customer-centric engineering. Enjoy generous PTO, full healthcare coverage, retirement planning, and the flexibility to work from anywhere in the US.

Architect the transformation of the technology stack to integrate AI-driven experiences, ensuring robustness, scalability, and reliability.

Deep experience owning service architecture across a full stack — understanding how services should blend together, not just how to build any one of them well

If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match

About Hims & Hers

• You'll Thrive Here If You:
• Lead with curiosity, adaptability, and principled decision-making

Responsibilities

• Lead the productionization of AI-driven experiences, partnering with research-focused teammates to harden services for uptime, reliability, and scale.
• Mentor senior technical leaders, elevating engineering capabilities across the organization, and champion initiatives that foster talent density and engineering rigor.
• A "productionization" mindset: comfortable being the counterweight to a fast-moving research/experimentation culture, focused on uptime and reliability
• Mentor senior engineering talent and reinforce a culture of growth, feedback, and high technical standards
• Balance short-term deliverables with long-term scalability, system health, and customer experience
• Advocate for customers through scalable, resilient backend design that anticipates clinical complexity and future scale
• Create alignment and momentum in ambiguous or complex technical spaces

Requirements

• Excellent track record standing up services at scale in production, with a demonstrated ability to think about robustness, scalability, and debuggability from day one
• Strong communication and collaboration skills, with the ability to partner across research, product, and clinical stakeholders
• Proven track record of influencing technical strategy and delivering cross-org technical initiatives at the group or organizational level
• 15+ years of professional software engineering experience with deep architectural expertise and a record of delivering production systems at scale
• Ability to think long-term and build for the future, balancing near-term delivery with durable architecture
• Some exposure to LLM/AI services — you don't need deep AI expertise, but you should have tested the waters with LLM or AI-powered systems in some capacity
• Hands-on engineering ability; you want to stay close to the code and the architecture, not just the roadmap
• Take initiative to address cross-squad blockers, scale constraints, or misaligned priorities before they escalate
• Drive consistent, action-oriented execution even without perfect clarity
• Inspire confidence through transparency, humility, and deep technical credibility

Pay

USD 290,000 - 330,000

Benefits

• Want to help architect how AI reshapes a company's stack and product, from the inside, from day one