Staff Software Engineer, AI & Recommendations Platform

About the role

How can we use vast amounts of proprietary and internet-scale healthcare data to build systems that enable access to significantly better healthcare? As a Staff Software Engineer on the AI team, you will play a key technical leadership role in evolving AI & Recommendations platform. You will help build the systems, infrastructure, and services that power treatment recommendations, provider decision support and experimentation across multiple healthcare verticals.

Responsibilities

• 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.
• 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

You Have 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

Qualifications

Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, data science, and clinical stakeholders

Skills

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 a related field

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

Pay

Salary and equity compensation details will be provided during the interview process.

Schedule

The position offers a flexible/remote work approach.