Senior Software Engineer
Job Description
About Nucs AI
Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.
We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.
Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.
The Opportunity
Join our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows.
You'll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure.
What You'll Build
Scalable microservices architectures using Kubernetes for orchestration and deployment
Event-driven systems with RabbitMQ for reliable asynchronous processing of medical data
Robust FastAPI backends that process and serve medical imaging data at scale
Production-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilities
Scalable data architectures using SQL databases with smart indexing and caching strategies
Monitoring, logging, and alerting systems that ensure reliability in clinical environments
Seamless integrations between internal services and external healthcare systems (HL7, FHIR)
Modern React frontends for clinical workflows and data management