Staff Software Engineer, AI & Recommendations Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the design and development of scalable backend systems, APIs, and platform services that facilitate treatment recommendations and personalization.

• Design and construct the infrastructure that supports experimentation, recommendation engines, and AI-driven healthcare experiences.

• Collaborate with Machine Learning engineers to deploy models and incorporate intelligent decision-making into both customer and provider workflows.

• Create and implement distributed systems that are highly reliable, observable, and maintainable.

• Lead platform enhancements including self-service tools, testing infrastructure, unified decision-making frameworks, and data pipelines.

• Work closely with vertical engineering teams to develop reusable patterns, frameworks, and best practices that foster independent innovation.

• Assess and incorporate emerging AI and LLM technologies that can enhance provider efficiency, patient outcomes, or operational scalability.

• Spearhead complex technical projects that involve multiple teams and systems.

• Guide and mentor engineers by providing technical leadership during design reviews, architectural discussions, and hands-on implementations.

• Shape the long-term technical trajectory of the MedMatch platform and the wider AI ecosystem.

⛳️ Requirements

• At least 5 years of professional software engineering experience in building and managing production systems at scale.

• Strong background in backend engineering, distributed systems, APIs, and cloud-native architectures.

• Proven track record of leading substantial technical initiatives and influencing architecture across various teams.

• Experience in creating data-intensive applications and services that utilize machine learning or recommendation systems.

• High proficiency in Python and contemporary software development practices.

• Background in integrating ML models, recommendation engines, or LLM-powered applications into production environments.

• Knowledge of ML lifecycle concepts including training, evaluation, deployment, monitoring, and experimentation.

• Familiarity with cloud platforms and modern infrastructure tools (AWS, Kubernetes, Databricks, MLflow, Airflow, etc.) is advantageous.

• Capability to balance immediate product delivery with long-term platform scalability and maintainability.

• Exceptional collaboration and communication skills, with the ability to work efficiently across engineering, product, data science, and clinical stakeholders.

🏝️ Benefits

• Competitive salary and equity compensation for full-time positions.

• Unlimited paid time off, 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 contributions.

• Offsite team retreats.