Abridge

Software Engineer, Intern

Abridge
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18 days ago
San Francisco, CA, USAIntern
H1B sponsor

Responsibilities

  • Design and build end-to-end features for AI-powered clinical systems.
  • Contribute to agentic LLM workflows, including retrieval pipelines, structured tool use, and chained LLM calls.
  • Fix user-facing bugs and improve backend and frontend systems.
  • Use evaluation frameworks to measure accuracy, robustness, and clinical reliability.
  • Prototype with new models, prompting techniques, and open-source orchestration tools.
  • Collaborate with design, product, machine learning, and infrastructure teams to ship customer-facing features.
  • Work with an engineering mentor and teammates within an engineering pod.

Requirements

  • Currently pursuing a bachelor’s or master’s degree in computer science, software engineering, or a related technical field.
  • Strong interest in pursuing a full-time software engineering role in 2027.
  • Experience using AI tooling to write, debug, and learn, with judgment about when to verify its output.
  • Passion for and understanding of Abridge’s healthcare mission.
  • Curious, adaptable, proactive, collaborative, and eager to learn in a fast-paced startup environment.

Benefits

  • Three-month internship program in Fall 2026 with possible extension.
  • Must work from the San Francisco or New York City office five days per week.
  • Relocation to San Francisco or New York City is supported through reimbursements.
  • Engineering mentorship and collaboration with experienced teammates.
  • Hourly base salary of $40.
  • Paid holidays and accrued time off for hourly employees.
  • Health, dental, and vision coverage are listed for full-time employees and their families.
  • Access to HSA contributions, family-forming benefits, commuter benefits, mental health support, lifestyle wallet contributions, and other employee programs.
Abridge

About Abridge

501-1,000 employees

Abridge builds an AI platform that converts patient–clinician conversations into EHR-ready clinical documentation for hospitals and clinicians. The enterprise SaaS includes automatic speech recognition and clinical note generation validated across 28+ languages, and integrates with major EHR systems. Founded in 2018 and headquartered in San Francisco, the privately held company sells to U.S. health systems, hospitals, and clinics.

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