Staff Software Engineer, AI & Recommendations Platform

hims & hers

Staff Software Engineer contributing to AI & Recommendations platform at Hims & Hers. Leading design and development of scalable systems for personalized healthcare solutions.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesLead💰 $195,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsKubernetesPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

backend engineeringdistributed systemsAPIscloud-native architecturesdata-intensive applicationsmachine learningrecommendation systemsPythonML lifecycleproduction systems

Soft Skills

collaborationcommunicationtechnical leadershipmentoringinfluencing architectureproblem-solvinginitiativeinnovationdesign reviewsarchitecture discussions