Staff Software Engineer, AI & Recommendations Platform

About the role

Join Hims And Hers as a Staff Software Engineer to contribute to the development of innovative healthcare technology. In this role, you will be responsible for building and maintaining the AI and recommendations platform that enables personalized treatment suggestions and supports healthcare providers in delivering tailored care. You will work closely with cross-functional teams to design scalable, reliable, and efficient backend systems that power critical health applications. This position offers an to influence the future of digital health by creating systems that improve health outcomes and enhance patient experiences through advanced AI solutions.

Key facts

What you'll do

• Design, develop, and maintain scalable backend services and APIs that deliver personalized health recommendations to users.
• Build and optimize the core infrastructure supporting AI-driven experimentation, recommendation engines, and machine learning workflows.
• Collaborate with data scientists and machine learning engineers to integrate predictive models and LLM applications into production environments.
• Develop and maintain highly available, resilient, and distributed systems that can handle large volumes of data and user requests.
• Improve internal tools, testing frameworks, and data processing pipelines to ensure and efficient platform operations.
• Work closely with other engineering teams to establish best practices, reusable components, and shared standards across the organization.
• Investigate emerging AI and LLM technologies, evaluate their applicability, and implement innovative solutions to enhance healthcare delivery.
• Lead complex technical projects that involve multiple teams, ensuring timely delivery and high-quality outcomes.
• Mentor and guide other engineers through code reviews, technical discussions, and knowledge sharing to foster a collaborative engineering culture.
• Contribute to defining the strategic technical direction of the MedMatch platform and broader AI initiatives within the company.
• Participate in architecture reviews, design discussions, and technical planning to ensure scalable and maintainable solutions.
• Engage in troubleshooting, performance tuning, and incident response to maintain platform stability and reliability.
• Document system designs, APIs, and best practices to facilitate onboarding and knowledge transfer across teams.
• Advocate for engineering excellence, code quality, and adherence to security and compliance standards.
• Support the deployment and monitoring of AI models in production environments, ensuring continuous improvement and compliance with healthcare regulations.

Requirements

• Minimum of 8 years of professional experience in software engineering, with a focus on building and maintaining production systems.
• Deep expertise in backend development, including designing APIs, building distributed systems, and working with cloud-native infrastructure.
• Proven experience leading major technical projects, influencing architecture decisions, and driving technical excellence.
• Strong knowledge of building data-intensive applications that machine learning or recommendation algorithms.
• Proficiency in Python, with a solid understanding of software development best practices and modern methodologies.
• Experience integrating machine learning models, recommendation systems, or large language models (LLMs) into live products.
• Familiarity with the entire machine learning lifecycle, including training, deployment, monitoring, and model management.
• Ability to balance immediate product delivery needs with long-term system health, scalability, and maintainability.
• Excellent communication skills, with the ability to collaborate effectively across cross-functional teams, including data science, product, and engineering.
• Strong problem-solving skills and a proactive approach to identifying and resolving technical challenges.
• Experience working in a fast-paced environment with evolving priorities and multiple stakeholders.

Nice to have

• Prior experience developing recommendation engines, ranking systems, personalization tools, or decision support systems.
• Background working in healthcare, health tech, or related industries with an understanding of healthcare data and compliance standards.
• An advanced degree in Computer Science, Machine Learning, Data Science, or a related field.
• Familiarity with healthcare-specific regulations, such as HIPAA or ITAR, is a plus.
• Experience working with container orchestration platforms like Kubernetes and cloud services such as AWS.
• Knowledge of data processing tools like Databricks, MLflow, and Airflow.

Skills & tools

• Python
• AWS
• Kubernetes
• Databricks
• MLflow
• Airflow

Practical notes

• This role is open to candidates based in the US.
• Hims And Hers offers comprehensive benefits, including unlimited paid time off, company holidays, mental health days, medical, dental, and vision coverage, parental leave, Employee Stock Purchase Plan (ESPP), and a 401(k) plan with matching contributions.
• The company is committed to fostering a diverse and inclusive environment and encourages applications from all qualified individuals.
• Reasonable accommodations are available for individuals with disabilities during the application process.
• The position involves working on-site at the US-based office location, with no mention of remote or hybrid arrangements.
• The role involves collaboration with multiple teams and stakeholders to deliver high-impact AI solutions in healthcare.