Full Stack Engineer

About Ataraxis AI

Ataraxis is an AI precision medicine company working at the intersection of multi-modal artificial intelligence and oncology. We develop and deploy AI-native tools to assist physicians in selecting the most optimal treatments for their patients.

Our mission is to change how cancer is treated and impact at least 50% of new cancer cases by 2030. Our first test for breast cancer patients was developed and evaluated in a validation study on over 8,000 patients from 15 international institutions. Ataraxis Breast was shown to improve the accuracy of gold standard tests by 30% and enable testing expansion to 100,000 new patients annually. At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare.

At Ataraxis, you will join an exceptional team at the forefront of healthcare-focused AI research and deployment. As a frontier AI lab, we bring together leading AI researchers, medical doctors, and industry veterans. Our advisors include AI pioneers such as Yann LeCun and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.

Ataraxis has raised $24 million in funding, including a recent $20.4 million Series A round led by top venture capital funds such as AIX Ventures (Hugging Face, Perplexity), Thiel Capital, Founders Fund (OpenAI, SpaceX, Palantir, Oscar Health), and Obvious Ventures (Recursion).

We are an AI-native company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.

Responsibilities

• Lead the development and maintenance of scalable, AI-first web applications for Ataraxis products.

• Build seamless and responsive UIs using modern JavaScript frameworks.

• Configure, optimize, and monitor the deployment of AI models.

• Implement novel AI oncology assistant/AI copilot functionalities.

• Build and optimize large-scale data upload and integration systems.

• Ensure web app and data security and compliance with SOC 2 Type II, ISO, HIPAA, GDPR.

Qualifications

• Proficiency with modern JavaScript frameworks (React, Angular, or Vue).

• Strong backend development skills. Preferred candidates with Python experience and familiarity with Python frameworks (Flask, FastAPI).

• Hands-on experience developing applications utilizing OpenAI APIs.

• Proven track record of shipping impactful features/products quickly.

• Deep passion for AI demonstrated through personal projects, continuous experimentation or active contributions to open-source/AI communities.

• Proficiency with Google Cloud Platform and serverless computing technologies for scalable MLops workflows.

• Solid understanding of operating systems, networking, and distributed computing.

• Experience with SQL.

• Competency with containerization and deployment using Docker and Kubernetes.

• Preferred: PyTorch experience.