Staff Software Engineer (AI & Recommendations Platform)

Join our team as a Staff Software Engineer on the AI team, where you will play a key technical leadership role in evolving our AI & Recommendations platform. You will work across the stack to enable intelligent, personalized care at scale, and lead the design and development of scalable backend systems, APIs, and platform services. This is a remote-first position with generous benefits, including PTO, healthcare coverage, retirement planning, and more.

• 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.
• Collaborate with vertical engineering teams to establish reusable patterns, frameworks, and best practices that enable independent innovation.
• 8+ years of professional software engineering experience building and operating production systems at scale
• This role is ideal for an engineer who is passionate about building scalable platforms and production systems while leveraging machine learning and AI technologies to solve complex healthcare problems
• Experience building data-intensive applications and services that leverage machine learning or recommendation systems
• Demonstrated success leading large technical initiatives and influencing architecture across teams
• Experience integrating ML models, recommendation engines, or LLM-powered applications into production systems
• Strong expertise in backend engineering, distributed systems, APIs, and cloud-native architectures
• Ability to balance short-term product delivery with long-term platform scalability and maintainability
• Familiarity with ML lifecycle concepts including training, evaluation, deployment, monitoring, and experimentation
• Strong proficiency in Python and modern software development practices
• Experience with cloud platforms and modern infrastructure tooling (AWS, Kubernetes, Databricks, MLflow, Airflow, etc.) is a plus
• Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, data science, and clinical stakeholders
• 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 a related field
• We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match