Principal Engineer, Applied AI (Fullstack/Backend)

hims & hers
United States
Workplace: RemoteFull timeUSD 290,000 - 330,000 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsSkills: ["Mentorship","Communication","Collaboration","Ambiguity navigation","Customer obsession"]

Architect and productionize the Applied AI stack that powers a patient-facing care experience, from intake through ongoing companion interactions. Own end-to-end service architecture, harden AI-driven services for uptime and scale, and drive reliability via observability and operational readiness. Partner with research-focused teams to move experiments into production, mentor senior technical leaders, and navigate ambiguity to accelerate delivery while embedding customer-centric engineering patterns.

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FursaFursa
hims & hers
hims & hers
5 days ago

Principal Engineer, Applied AI (Fullstack/Backend)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Architect and productionize the Applied AI stack that powers a patient-facing care experience, from intake through ongoing companion interactions. Own end-to-end service architecture, harden AI-driven services for uptime and scale, and drive reliability via observability and operational readiness. Partner with research-focused teams to move experiments into production, mentor senior technical leaders, and navigate ambiguity to accelerate delivery while embedding customer-centric engineering patterns.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own the overall service architecture for the Applied AI stack across the end-to-end patient-facing experience.
  • •Partner with research teammates to productionize AI-driven work by hardening services for uptime, reliability, and scale.
  • •Drive reliability and operational excellence through debugging, observability, and operational readiness practices.
  • •Mentor senior technical leaders and help elevate engineering rigor and continuous learning across the organization.
  • •Translate customer and product goals into scalable technical solutions, clarifying direction in complex ambiguity and accelerating execution.

Pay and Benefits

Salary: USD 290,000 - 330,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •15+ years of professional software engineering experience with deep architectural expertise and production-scale delivery.
  • •Proven ability to influence technical strategy and deliver cross-org initiatives at a group/organizational level.
  • •Demonstrated service ownership at scale in production, with focus on robustness, scalability, and debuggability.
  • •Deep experience owning full-stack service architecture—how services blend together end-to-end.
  • •A productionization mindset, plus some exposure to LLM/AI services (tested the waters in some capacity).
Experience:15+ yearsHealthcareAI
Skills:MentorshipCommunicationCollaborationAmbiguity navigationCustomer obsession
Tech Stack:LLMAI

Company Brief

hims & hers
A telehealth and consumer wellness platform offering personalized care and products across sexual health, hair, mental health, dermatology, weight loss and primary care via digital consultations, prescriptions, and fulfillment.
Industry: HealthTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2017
Glassdoor
Glassdoor: 2.9
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