Recent graduate or early-career candidate in Computer Science, Health Informatics, Engineering, UX, Applied Data, or related discipline. Deep interest in healthcare technology and EMR systems. Demonstrated ability to learn quickly and adapt in ambiguous environments. Strong written and verbal communication skills. Comfort learning and working with modern SDKs, APIs, and plugin-based architectures. Willingness to ramp into concepts like event-driven design, handlers, and effects. Strategic mindset to balance short-term deliverables with long-term platform health. Understanding of healthcare delivery challenges and provider workflow pain points. Interest in healthcare automation and improving clinical operations through software. Ability to engage with clinical, operational, and financial stakeholders. Collaborative by default. Growth mindset with rapid learning velocity. Productive tension management. AI-native and pragmatic.