Fullstack Software Engineer

True Talent Solutions Partners•San Francisco, CA
•Hybrid

About The Position

Join a small engineering team at a healthtech startup building platform foundations behind clinical workflows, payments, and provider and patient experiences. The role owns systems end to end, from data models and APIs to production user experiences, in an environment where accuracy and reliability matter. The engineer will build AI-enabled tools for clinical documentation, treatment planning, reassessments, supervision, and administrative work; develop systems for service authorization, billing, payment adjudication, and provider payouts; and create tools for provider credentialing, contracting, compliance, payroll, scheduling, and staffing. The role also builds patient and family experiences for intake, onboarding, scheduling, communication, progress tracking, and payments, and automates operational workflows across credentialing, billing, authorizations, and care coordination. The position owns platform foundations, including data models, APIs, security, compliance, reliability, AI infrastructure, and production systems. It is hybrid, based in San Francisco, California, with an expectation of working in the office three days per week. New York may also be considered.

Requirements

  • Four to ten years of fullstack software engineering experience in full-time roles.
  • Strong proficiency in Python.
  • Experience with NoSQL technologies such as MongoDB or Firebase.
  • Product engineering experience at a startup, including architecture decisions or system design at a Series A or later company.
  • Experience in healthtech, fintech, or another operationally complex environment where accuracy, data integrity, and business rules are critical.
  • A bachelor's degree and solid computer science fundamentals.
  • Ability to model workflows as states, transitions, and invariants.
  • Current work authorization that does not require employer visa sponsorship.

Responsibilities

  • Build AI-enabled tools for clinical documentation, treatment planning, reassessments, supervision, and administrative work.
  • Develop systems for service authorization, billing, payment adjudication, and provider payouts.
  • Create tools for provider credentialing, contracting, compliance, payroll, scheduling, and staffing.
  • Build patient and family experiences for intake, onboarding, scheduling, communication, progress tracking, and payments.
  • Automate operational workflows across credentialing, billing, authorizations, and care coordination.
  • Own platform foundations, including data models, APIs, security, compliance, reliability, AI infrastructure, and production systems.
  • Own systems through implementation and production.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service