Lead Backend Engineer (AI)

TL;DR

Lead Backend Engineer (AI): Building and scaling the data platform for AI-driven healthcare decision support with an accent on backend architecture, data pipelines, and security compliance. Focus on designing complex data ingestion engines, implementing anomaly detection systems, and scaling infrastructure for large-scale clinical data processing.

Location: Must be based in or able to commute to San Francisco for hybrid work (2-3 days per week).

Salary: $200k–$240k

Company

A fast-growing, AI-driven healthcare data platform startup dedicated to improving healthcare affordability and quality.

What you will do

• Lead the integration and deployment of platform solutions for enterprise health plan customers.
• Architect and develop end-to-end features, including requirements gathering, implementation, and testing.
• Build and scale robust data pipelines for medical records, provider directories, and claims processing.
• Establish engineering best practices and technical foundations for the growing team.
• Shape the technical roadmap and influence core product strategy.

Requirements

• 5+ years of experience in software application development.
• Expertise in data engineering and backend development practices.
• Must be based in or able to commute to the San Francisco office (hybrid requirement).
• Ability to collaborate with founding team members and lead engineering efforts.
• Strong background in scalable web applications.

Nice to have

• Experience with healthcare data and HIPAA compliance standards.
• Experience building or managing software engineering teams.
• Knowledge of machine learning or large language models in end-user applications.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• Flexible hybrid work arrangement with a remote-first culture.
• 401(k) retirement plan.
• Unlimited vacation policy and paid parental leave.
• Significant equity participation as an early employee.