Note: The job is a remote job and is open to candidates in USA. Hims & Hers is a health and wellness platform focused on providing personalized, accessible healthcare from diagnosis through treatment and delivery. The Principal Engineer will architect the Applied AI stack and productionize AI-driven patient experiences, ensuring robust, scalable, reliable, and debuggable services across the full stack. The role also involves mentoring technical leaders, navigating ambiguity, and driving customer-centric engineering strategy.
Responsibilities
- 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
- 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
- Instill best practices around debugging, observability, and operational readiness. Design for robustness and scalability from day one rather than retrofitting it later
- Mentor senior technical leaders, elevating engineering capabilities across the organization. Champion initiatives that foster talent density, engineering rigor, and a culture of continuous learning
- Lead through complexity and ambiguity, clarifying direction where ownership is unclear. Remove organizational blockers, simplify decision-making, and accelerate delivery of strategic initiatives
- Translate customer needs and product goals into scalable technical solutions. Define principles and patterns that embed customer obsession into our platform’s architecture
- Design systems and team boundaries to support sustainable growth. Drive investment in non-functional priorities (e.g., observability, migrations, reliability) early in the design process
Skills
- 15+ years of professional software engineering experience with deep architectural expertise and a record of delivering production systems at scale
- Proven track record of influencing technical strategy and delivering cross-org technical initiatives at the group or organizational level
- Excellent track record standing up services at scale in production, with a demonstrated ability to think about robustness, scalability, and debuggability from day one
- 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
- A "productionization" mindset: comfortable being the counterweight to a fast-moving research/experimentation culture, focused on uptime and reliability
- Hands-on engineering ability; you want to stay close to the code and the architecture, not just the roadmap
- 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
- Ability to think long-term and build for the future, balancing near-term delivery with durable architecture
- Strong communication and collaboration skills, with the ability to partner across research, product, and clinical stakeholders
Benefits
- A talent-first flexible/remote work approach
Company Overview
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