Senior AI Platform Engineer (Hybrid)

Hinge Health; San Francisco (CA); Hybrid; USD 188,000 - 257,000; Full time

Job summary

Hinge Health is seeking a Senior Software Engineer to help build and scale our AI platform, contributing to a robust and scalable infrastructure for AI/ML models and agents.

You will collaborate with AI/ML teams to deploy models, develop APIs and microservices, and maintain production systems in a DevOps-driven environment. Prioritize performance, reliability, and security in a healthcare context.

Qualifications

• Bachelor’s degree in Computer Science or a related technical field.
• 5+ years of software engineering experience.
• 3+ years of backend development experience with Python, TypeScript, or Java.
• Experience building RESTful APIs and services.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience using Git in an Agile environment.

Responsibilities

• Integrate models and agents into the platform and ensure smooth deployment.
• Write clean, maintainable code with a focus on performance and reliability.
• Build and maintain APIs and microservices for AI model deployment and data processing.
• Troubleshoot platform performance, integration, and reliability issues.
• Collaborate with cross-functional teams to deliver effective solutions.
• Contribute to architectural discussions and improve AI platform workflows.

Skills

Backend development

RESTful APIs

Cloud platforms

Git & Agile

Python/TypeScript/Java

Education

Bachelor’s degree in Computer Science or related technical field

Advanced degree in AI/ML (preferred)

Tools

Terraform

CloudFormation

Datadog

Sentry

React/Typescript

Job description

Hinge Health is seeking a Senior Software Engineer to help build and scale our AI platform, contributing to a robust and scalable infrastructure for AI/ML models and agents.

You will collaborate with AI/ML teams to deploy models, develop APIs and microservices, and maintain production systems in a DevOps-driven environment. Prioritize performance, reliability, and security in a healthcare context.