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About the Role

We are seeking a Product Engineer skilled in full-stack development, user experience, and end-to-end system design. This role involves owning product features from ideation to implementation, building responsive web applications and backend services, and collaborating with users to create scalable solutions.

Responsibilities

• Build and maintain the integration layer connecting applications to customer systems (PACS, RIS, EHRs) using DICOM and HL7 via site-to-site VPN.
• Onboard new clients by understanding their systems and implementing custom integrations.
• Build and maintain internal applications for case assignment distribution, Radiologist peer reviews, and business insights/analytics.
• Proactively identify process gaps, inefficiencies, automation opportunities, and risks.
• Independently manage medium-to-large projects, leveraging domain knowledge and making design decisions.

Requirements

• 5+ years of experience developing user-facing software applications.
• Deep proficiency in modern web application technologies for frontend (e.g., TypeScript, React) and backend services.
• Strong understanding of web architecture, especially in interactive and real-time applications with performance considerations.
• Ability to be a strong, independent contributor comfortable navigating ambiguity and uncharted territory.
• Experience in building products that customers love and setting/leading technical direction from an early stage.
• Skill in understanding systems design tradeoffs and balancing competing priorities.
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders.
• Experience operating in a startup or startup-like environment with a small, fast-moving team and high autonomy.

Skills

• TypeScript
• React
• Web Application Technologies
• Backend Services
• Web Architecture
• Interactive Applications
• Real-time Applications
• Systems Design
• Communication Skills

Experience Level

• 5+ years

About the Company

• Tackling critical challenges in medical imaging and diagnostics.
• Operating at the intersection of AI and clinical practice.
• Building technology that directly impacts patient outcomes.
• Possessing one of the industry's most comprehensive and diverse medical imaging datasets.
• Having proven product-market fit with a substantial customer pipeline.