Full-Stack Engineer, Applied AI

Position: Staff Full-Stack Engineer, Applied AI

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

We’re hiring a Staff Full-Stack Engineer to help drive the next generation of AI-powered healthcare experiences. This is a highly technical role with broad cross-functional impact. You’ll partner with product teams across the company — including Pharmacy, E-commerce, Care, and Core Platform — to design and ship AI-powered features for both external users and internal teams.

You will set technical direction, lead architectural decisions, and create the foundational systems that enable fast, safe, and reliable AI development. This role is ideal for someone who enjoys fast iteration, values a product-driven mindset, and can balance high velocity with uncompromising standards for safety and quality.

You Will Lead architecture and platform development

• Design and own core AI workflow platforms, orchestration systems, and shared SDKs that power intelligent healthcare experiences.
• Build scalable, reliable systems for LLM orchestration, grounding, evaluation, and agent-like workflows.
• Create reusable frameworks and patterns that other engineering teams can adopt across the company.
• Drive multi-quarter technical initiatives and help bridge AI research prototypes with production-grade systems.

Partner closely with Product across multiple verticals

• Work with Pharmacy, E-commerce, Care, and Operations to bring AI-powered features to life, from patient-facing journeys to internal efficiency tools.
• Collaborate on product strategy, helping translate ambiguous ideas into clear technical plans.
• Support teams in releasing features quickly through incremental, high-velocity delivery cycles.
• Ensure user-facing AI experiences meet expectations for performance, reliability and usability.

Champion safety, privacy, and clinical integrity

• Develop evaluation frameworks and observability systems that measure AI behavior, grounding, safety, and quality.
• Establish guardrails and patterns that ensure all AI interactions comply with HIPAA, security-by-design, and privacy-first principles.
• Work with clinical, legal, and AI safety partners to ensure our systems are trustworthy and appropriate for healthcare use.

Elevate engineering excellence

• Mentor engineers and help cultivate strong engineering practices across the Applied AI organization.
• Lead design reviews and contribute to architectural governance across engineering teams.
• Improve developer experience and remove platform bottlenecks that slow down product teams.
• Raise the overall quality bar by championing clear standards for reliability, observability, testing, and iteration.

Build and ship across the full stack

• Develop features and infrastructure using Type Script (AWS, Cloudflare Workers, React/Next.js) and Python (Databricks, orchestration, evaluation).
• Integrate and evaluate LLMs and ML systems through unified AI gateway.
• Build secure APIs and connectors that link to domains like EHR, Pharmacy, Payments, Orders, and Care.
• Contribute to shared libraries that standardize schemas, tool contracts, and developer experience.

You Have

• 8+ years of professional experience across backend services, frontend applications, distributed systems, and data/ML tooling.
• Strong proficiency in Type Script and Python, with experience building production systems in both languages.
• Deep familiarity with LLM- or ML-based systems and the architectural patterns needed to operate them safely at…