Software Engineer, Full Stack

🕒 Abril 14

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Bayesian Health

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏥 Saúde

🤖 Inteligência Artificial

⚕️ Seguro de Saúde

Healthcare • Artificial Intelligence • Healthcare Insurance

A Bayesian Health é uma empresa de tecnologia em saúde que se concentra em transformar dados de saúde em insights clínicos acionáveis através de sua plataforma de IA adaptativa. A plataforma possibilita a Aumento Inteligente do Cuidado, permitindo que os cuidadores ofereçam um cuidado proativo e de maior qualidade, resultando em melhores desfechos de saúde para os pacientes. Com uma base de extensa pesquisa no campo, a Bayesian Health visa capacitar médicos e equipes de cuidado com dados em tempo real para melhorar a tomada de decisões e salvar vidas.

Descrição

• Design, develop, test, deploy, and maintain robust and scalable full-stack clinical AI modules in production. • Leverage AI coding tools (e.g., Claude Code, Cursor) to rapidly build an end-to-end application in production quality grade and AI agents to optimize testing, debugging, and production maintenance. • Partner with product managers, clinical, data scientists, and other software engineers to integrate our AI insights into intuitive and seamless clinical workflows. • Develop comprehensive and robust automated end-to-end tests to ensure platform and application functional integrity, meeting the requirements of enterprise health systems and regulatory.

🎯 Requisitos

• BS in Computer Science or other relevant technical discipline. • 3+ years of experience building and maintaining scalable and reliable full stack applications in production using modern front-end technologies (React and Typescript preferred). • 3+ years experience in developing and deploying end-to-end applications on a cloud platform (AWS preferred) powered by relational databases (e.g., Postgresql, MySQL, etc.) or cloud-based storages. • Experience with leveraging AI coding tools (e.g., Claude Code, Cursor, Codex) across the design, development, testing, and deployment lifecycle. • Experience handling ambiguity and uncertainty in a startup. • Experience shipping AI/ML products in healthcare and/or at startups. • Experience working cross-functionally with clinicians to align on workflow and product functionality expectations. • Experience with health data, integration with electronic health records (EHR) systems, and health IT interoperability standards.

🏖️ Benefícios

• Equal employment opportunities to all employees and applicants for employment