Latent Defense
Software Engineer
About this role
Join a healthcare AI company building critical clinical systems in San Francisco. You'll develop backend infrastructure and data pipelines that power clinical workflows, integrating AI models and healthcare systems to improve patient care and operational efficiency.
What you'll do
- Design and build high-performance backend systems for processing large-scale clinical data
- Build data pipelines and distributed systems handling asynchronous workloads with tools like Kafka and Temporal
- Create robust integrations with Electronic Health Records and external systems
- Implement complex product workflows such as Prior Authorizations and Patient Interactions
- Integrate clinical AI models into production systems
- Ship end-to-end features across backend, APIs, and frontend layers when needed
What they're looking for
- TypeScript backend development
- Distributed systems and data infrastructure (PostgreSQL, Redis, Kafka, Temporal)
- Production system design and complexity management
- Healthcare system integrations
- AI/ML model operationalization
- Kubernetes and infrastructure tooling (bonus)
- Command line and automation
- Full-stack development
Benefits
- High-ownership role in a category-defining healthcare company
- Work on systems that directly impact patient care and clinical workflows
- In-person, five days per week in San Francisco office
- Fast-paced, high-energy environment
- End-to-end ownership of projects from conception to production
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Latent Defense
Latent Defense builds modern clinical AI systems designed to replace outdated EHRs and improve healthcare workflows for providers and patients. The company is hiring frontend engineers, DevOps infrastructure specialists, backend developers, and machine learning engineers to develop intuitive interfaces, ensure production reliability, power clinical data pipelines, and deploy personalized healthcare ML systems.
View all jobs at Latent DefenseLikely interview questions
- Can you walk us through a backend system you've built in TypeScript? How did you handle scaling and complexity?
- Tell us about your experience with distributed systems like Kafka or Temporal. How have you debugged issues in async workflows?