hims & hers logo
hims & hers

hims & hers offers a modern approach to health and wellness.

Staff Software Engineer, AI & Recommendations Platform

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 201-500Since 2017H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$195K - $240K / year

Seniority

Lead

Job Description

Staff Software Engineer, AI & Recommendations Platform

hims & hers

• Lead the design and development of scalable backend systems, APIs, and platform services that power treatment recommendations and personalization. • Architect and build the infrastructure that enables experimentation, recommendation engines, and AI-powered healthcare experiences • Partner with Machine Learning engineers to productionize models and integrate intelligent decisioning into customer and provider workflows • Design and implement highly reliable, observable, and maintainable distributed systems • Drive platform investments including self-service tooling, testing infrastructure, unified decisioning frameworks, and data pipelines • Collaborate with vertical engineering teams to establish reusable patterns, frameworks, and best practices that enable independent innovation • Evaluate and integrate emerging AI and LLM technologies where they can improve provider efficiency, patient outcomes, or operational scale • Lead complex technical initiatives that span multiple teams and systems • Mentor engineers and provide technical leadership through design reviews, architecture discussions, and hands-on implementation • Influence the long-term technical direction of the MedMatch platform and broader AI ecosystem

Job Requirements

  • 5+ years of professional software engineering experience building and operating production systems at scale
  • Strong expertise in backend engineering, distributed systems, APIs, and cloud-native architectures
  • Demonstrated success leading large technical initiatives and influencing architecture across teams
  • Experience building data-intensive applications and services that leverage machine learning or recommendation systems
  • Strong proficiency in Python and modern software development practices
  • Experience integrating ML models, recommendation engines, or LLM-powered applications into production systems
  • Familiarity with ML lifecycle concepts including training, evaluation, deployment, monitoring, and experimentation
  • Experience with cloud platforms and modern infrastructure tooling (AWS, Kubernetes, Databricks, MLflow, Airflow, etc.) is a plus
  • Ability to balance short-term product delivery with long-term platform scalability and maintainability
  • Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, data science, and clinical stakeholders.

Benefits

  • Competitive salary & equity compensation for full-time roles
  • Unlimited PTO, company holidays, and quarterly mental health days
  • Comprehensive health benefits including medical, dental & vision, and parental leave
  • Employee Stock Purchase Program (ESPP)
  • 401k benefits with employer matching contribution
  • Offsite team retreats

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