About the job
About Nucs AI
Nucs AI is transforming cancer care through innovative artificial intelligence and medical imaging technologies. Founded in 2024 by a diverse team of oncologists, AI experts, and healthcare pioneers, we address the urgent need for precise and timely cancer diagnostics amidst increasing scan volumes and a shortage of radiologists.
Positioned at the intersection of diagnostics and treatment planning, we develop AI-driven tools that integrate medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer, we aim to broaden our impact across oncology, collaborating with top medical institutions and pharmaceutical partners in the US, Europe, and Australia to integrate precision oncology into everyday clinical practice.
Our mission is to elevate diagnostic accuracy and broaden access to expert-level cancer care, thereby enhancing patient outcomes globally. As a venture-backed startup in its early stages, we are assembling a team that combines profound clinical expertise with engineering excellence, navigating the rigorous demands of the medical field with the agility required to tackle pressing challenges.
The Opportunity
In this pivotal role, you will oversee the platform engineering domain at Nucs AI, encompassing architecture, delivery, team leadership, and cross-functional collaboration. You will make critical architectural decisions, grow and mentor the platform team, and ensure our clinical AI platform scales effectively across various modalities, devices, and integration partners.
Working closely with the CTO, you will share responsibility for technical direction and possess authority over platform architecture, engineering practices, and delivery. This role empowers you to shape the evolution of the platform, aligning it with a dynamic product and clinical roadmap.
Join a high-caliber engineering team in an early-stage environment, recognizing the unique opportunity this presents.
What You’ll Do
Engineering Culture & Team Leadership
Cultivate and guide an engineering culture founded on clarity, trust, and technical excellence.
Manage a diverse team of backend, frontend, DevOps, and QA engineers; foster career development and promote autonomy.
Lead recruitment efforts: define roles, conduct structured interviews, and build a high-performing team.

