Qualified Health jobs

Staff Frontend Engineer role at Qualified Health focused on building the AI SaaS healthcare platform user experience. Requires 8+ years experience and emphasizes React, TypeScript, responsive design, and scalable component architecture. Requires 3 days/week on-site in Palo Alto. Salary not specified.

Technical Lead Platform Engineer at Qualified Health building Gen AI for Healthcare SaaS platform. Requires 8+ years, production experience with generative AI, Python/TypeScript/Java/Go, microservices, AWS/GCP/Azure, Kubernetes, Terraform. Palo Alto on-site 3 days/week hybrid; salary not listed.

Open application for interested candidates without a specific defined role at Qualified Health. Welcomes applications across engineering, data, product, customer success, operations, and other functions. Requires on-site presence in Palo Alto. Reviews applications on a rolling basis.

Senior DevOps Engineer at Qualified Health focused on architecting and managing multi-tenant Azure cloud infrastructure, Terraform automation, and Databricks data platforms. Responsibilities include infrastructure provisioning, security configuration, and client onboarding patterns. Requires 3 days/week on-site in Palo Alto.

Senior Backend Engineer at Qualified Health building core platform services for an AI SaaS healthcare solution. Requires Python proficiency, microservices architecture experience, cloud platform expertise (AWS/GCP/Azure), and infrastructure-as-code knowledge. Requires 3 days/week on-site in Palo Alto.

Software Engineer - Frontend position at Qualified Health focused on building the user experience for an AI SaaS healthcare platform. Key responsibilities include React/TypeScript frontend development, component design, and API integration. Requires 3 days/week on-site in Palo Alto. Salary not specified.

Healthcare AI Solutions Engineer at Qualified Health, a technical implementation and consulting role focused on designing and building ETL data pipelines for healthcare data integration. Responsibilities include PySpark/SQL development, data quality validation, and production deployment. Fully remote across the United States.

Applied AI Engineer role at Qualified Health, focused on building and scaling production AI workflows and agentic systems in healthcare. The position emphasizes hands-on development of generative AI applications (~60%), REST APIs (~30%), and deployment to production. Located in Palo Alto with hybrid work requirement. Requires Python, LLM integration experience, and cloud deployment skills (GCP preferred). Salary not specified.

Qualified Health is hiring a Platform Engineer to build core services for their generative AI healthcare SaaS platform, working with an early-stage engineering team on infrastructure that enables safe AI governance in health systems. You'll develop and maintain microservices, write infrastructure-as-code, manage CI/CD pipelines, troubleshoot production issues, and collaborate on technical documentation and code reviews. Required qualifications include production experience with generative AI applications, proficiency in Python plus TypeScript/Java/Go/Rust, solid microservices and cloud platform (AWS/GCP/Azure) knowledge, Kubernetes/Docker experience, and a bachelor's degree; a master's degree is highly desirable. The role offers $160–240K salary plus equity, backed by premier investors, though it requires 3 days/week on-site in Palo Alto. A concrete stand-out detail is the requirement for production-scale generative AI platform experience—this isn't a junior role despite being an early-stage company.