Senior Software Engineer, GI Product (AI-Driven)

Doist; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Dog-friendly office

401(k) plan with company match

Learning & development stipend

Employee stock purchase plan

Job summary

Hinge Health is expanding beyond its core digital physical therapy to launch a brand-new GI product line. You will work in a hands-on role, building from scratch and shipping end-to-end features, blending AI, medical device considerations, and scalable software architecture.

As a Senior Software Engineer, you will collaborate with Product, Design, and Marketing across San Francisco, Montreal, and Bangalore hubs, mentor peers, and drive rapid experimentation while maintaining a strong focus on

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 3+ years of full-time software development experience.
• 4+ years of experience with at least one programming language.
• Experience delivering large software projects in production.
• Proficiency in at least one modern language (Python, Java, JavaScript).

Responsibilities

• Define and build the GI product from scratch with rapid delivery of capabilities.
• Implement key functionalities with high quality and performance on tight schedules.
• Mentor junior engineers and contribute to team architecture and tooling.

Skills

React Native

TypeScript/JavaScript

GraphQL

AWS (Lambda, SQS, SNS)

AI integration

Code reviews

Mentoring

Education

Bachelor's Degree in Computer Science

Tools

CI/CD

Automated testing

Monitoring

SageMaker/AWS services

Job description

Hinge Health is expanding beyond its core digital physical therapy to launch a brand-new GI product line. You will work in a hands-on role, building from scratch and shipping end-to-end features, blending AI, medical device considerations, and scalable software architecture.

As a Senior Software Engineer, you will collaborate with Product, Design, and Marketing across San Francisco, Montreal, and Bangalore hubs, mentor peers, and drive rapid experimentation while maintaining a strong focus on