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Vera Health

AI-driven healthcare platform delivering scientific answers

Clinical Product Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Formal medical training, specifically an MD, DO, or international equivalent, with real clinical experience.
  • Full-stack experience and hands-on experience building with code and large language models.
  • Ability to independently identify problems, speak with users, and implement solutions without waiting for a specification.

Responsibilities

  • Talk with clinicians regularly, understand their daily workflows, and turn real friction into clean solutions.
  • Build end-to-end artificial intelligence features by architecting and shipping full-stack solutions that use large language models to augment clinical workflows.
  • Design and run evaluations to ensure shipped features are clinically safe, accurate, and useful.
  • Work directly with the founders to set product direction for clinical workflows.
  • Own clinical product areas end-to-end, from clinician discovery and requirements gathering through building, shipping, and production iteration.

Desired Qualifications

  • Experience shipping artificial intelligence features to a large audience of users at a company where the product had to be fast, opinionated, and delightful.
  • Ability to continue practicing medicine alongside Vera.

About the Company

Vera Health

AI-driven healthcare platform delivering scientific answers

Vera Health provides an AI-driven platform that answers medical questions for medical professionals, researchers, and students by analyzing more than 200 million scientific papers. It uses proprietary AI models that run in parallel to deliver precise, science-based responses, helping clinicians and researchers save time while improving patient care. The product works by quickly searching, interpreting, and synthesizing vast scientific data into clear answers, likely with supporting citations, through subscription-based access with different tiers. The platform differentiates itself by leveraging multiple parallel AI models and a vast, up-to-date literature corpus to generate accurate insights tailored to healthcare professionals. The goal is to combine human expertise with advanced technology to enhance the quality and efficiency of medical decision-making and patient care.

Company size
11-50
Company stage
Series A
Total funding
$28.6M
Headquarters
San Francisco, CA
Founded
2024

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