Engineering Lead

About Ataraxis AI

Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physicians in selecting the most optimal treatments for their patients.

We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes.

At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.

We operate with a flat organizational structure where every team member is expected to actively contribute. Leadership roles are earned by those who demonstrate initiative and deliver consistently high performance. Strong work ethic and the ability to prioritize effectively are essential. All candidates must communicate clearly, sharing insights accurately and concisely with teammates. We don’t use recruiters — each application is reviewed personally by a relevant team member and/or founders.

Responsibilities

• Lead the end-to-end engineering strategy and execution across infrastructure, data engineering, product engineering, MLOps, web development, and security.

• Architect and manage a scalable, secure, and reliable cloud-based infrastructure to support our AI precision medicine platform.

• Oversee the development and delivery of high-quality software products, including both internal tools and customer-facing solutions (e.g., web apps, APIs, etc.).

• Collaborate closely with research, product, and other teams to ensure engineering supports the company’s strategic objectives and timelines.

• Drive engineering best practices, including CI/CD pipelines, code quality, testing, and deployment automation.

• Build and scale the engineering team, fostering a high-performance culture and mentoring talent across the organization.

• Ensure the security of data and infrastructure, implement industry best practices, and respond to any security incidents. Achieve SOC2 type II compliance.

• Develop and manage engineering budgets, resource planning, and timelines to ensure on-time delivery of projects.

• Stay up to date on new technologies and trends, continuously evaluating and implementing tools to optimize engineering workflows and performance.

Required

• 5+ years of engineering experience.

• You must have previously built engineering infrastructure and operations from the ground up or scaled them significantly at early-stage or growth startups.

• Proven experience in building and scaling cloud-based systems, with deep expertise in GCP, AWS, or other cloud environments.

• Strong knowledge of modern software development practices, including microservices, Docker, K8s, and others.

• You must have previously set up ELT pipelines and databases for multi-modal data, with a strong preference for candidates with experience in ELT for medical data.

• Deep understanding of how to operationalize machine learning models.

• Deep expertise in security practices, ensuring data protection, regulatory compliance, and security incident management.

• Track record of building (hiring), managing, and mentoring high-performing engineering teams.

• Strong collaboration skills, with the ability to work closely with cross-functional teams, including product management, operations, and research.

• Startup experience or experience leading engineering teams in a high-growth, fast-paced environment is strongly preferred.

• Bachelor’s degree in computer science, engineering, or a related field; advanced degrees are a plus.