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Principal Engineer (Applied Artificial Intelligence, Fullstack/Backend)
Hims & Hers · United States
About The Role
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.
- 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.
- 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
- A "productionization" mindset: comfortable being the counterweight to a fast-moving research/experimentation culture, focused on uptime and reliability
- 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
- 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
- You'll Thrive Here If You:
- Want to help architect how AI reshapes a company's stack and product, from the inside, from day one
- 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
- 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
- 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
- Lead with curiosity, adaptability, and principled decision-making
- 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
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