Staff Software Engineer, AI & Recommendations Platform
hims & hers · USA
About this role
## About Hims & Hers Hims & Hers is a leading health and wellness platform on a mission to help the world feel great through better health. They’re redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal—from diagnosis to treatment to delivery. ## About the Role As a **Staff Software Engineer on the AI team**, you’ll play a key technical leadership role in evolving the **AI & Recommendations platform**. You’ll help build the systems, infrastructure, and services that power: - Treatment recommendations - Provider decision support - Experimentation across multiple healthcare verticals You’ll work across the stack—from **APIs and platform infrastructure** to **recommendation systems** and **LLM-powered applications**—to enable intelligent, personalized care at scale. ## You Will - Lead the design and development of scalable backend systems, APIs, and platform services for treatment recommendations and personalization - Architect and build infrastructure for experimentation, recommendation engines, and AI-powered healthcare experiences - Partner with Machine Learning engineers to productionize models and integrate decisioning into customer and provider workflows - Design and implement highly reliable, observable, and maintainable distributed systems - Drive platform investments (self-service tooling, testing infrastructure, unified decisioning frameworks, data pipelines) - Collaborate with vertical engineering teams to establish reusable patterns, frameworks, and best practices - Evaluate and integrate emerging AI/LLM technologies to improve provider efficiency, patient outcomes, or operational scale - Lead complex technical initiatives across 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 ## You Have - **8+ 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/services leveraging ML and/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 the ML lifecycle (training, evaluation, deployment, monitoring, experimentation) - Experience with cloud platforms and infrastructure tooling (e.g., **AWS, Kubernetes, Databricks, MLflow, Airflow**) is a plus - Ability to balance short-term product delivery with long-term platform scalability and maintainability - Excellent collaboration and communication skills across engineering, product, data science, and clinical stakeholders ## Nice to Have - Experience building recommendation systems, ranking systems, personalization platforms, or decision-support systems - Experience in healthcare, health tech, or other regulated environments - Advanced degree in Computer Science, Machine Learning, or related field ## Benefits (Highlights) - Competitive salary & equity compensation (full-time) - Unlimited PTO, company holidays, and quarterly mental health days
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