New Lantern is building an AI radiology resident—think Cursor for radiologists. Our application integrates the three software tools radiologists use all day, together with AI, to create a platform that saves radiologists toil and lets them focus on reading images and finding disease.
Requirements
- 4+ years of progressive experience building and maintaining complex, high performance web applications running in cloud environments.
- Solid experience with Python and a Python web framework (ideally Django) as well as the supporting dev tools ecosystem.
- Well-practiced debugging and problem-solving skills, and a thorough understanding of the abstractions you typically build on top of.
- Experience measuring and optimizing the performance of web applications and their database access patterns.
- Experience building and maintaining reliable LLM- or ML-based products or systems, including evals, fine tuning, operations, and data engineering.
- Experience managing cloud infrastructure using Terraform or another infastructure-as-code tool.
- Experience deploying and operating applications on Kubernetes or another container orchestration system.
Responsibilities
- building and maintaining a reliable, high performance server application that enables our product, including receiving and processing radiology image data, running LLM inference tasks to assist users, and transmitting completed medical reports, as well as providing all of the standard services needed by a modern web application.
- Take on end-to-end ownership for delivering a best-in-class radiology platform.
- Solve user problems by shipping reliable and efficient features and improvements using Python and Django.
- Improve application quality and reliability with pre-deployment automated testing, robust error handling, and graceful error recovery.
- Partner with frontend developers to ship new features and improve overall system performance and reliability.
Other
- Collaborate with radiologists, clinical staff, and IT staff to discover requirements, build prototypes, and validate solutions.
- A product engineering mindset with a bias to talk to users frequently and ship iteratively.
- An end-to-end ownership mindset across design, implementation, testing, and monitoring.
- Familiarity with radiology, medical imaging, or related fields.
