• Review and refine AI-generated outputs related to software engineering, technical documentation, code quality, and practical aspects of software development • Evaluate AI responses for technical accuracy, practicality, and alignment with real-world development standards • Draft realistic engineering scenarios based on your direct professional experience • Create scenario variations from different perspectives (e.g. engineer, client, product manager, or stakeholder) • Identify gaps, oversights, or weak reasoning in AI-generated engineering content

• Own and lead product features end-to-end: research, design, implement, test, and ship • Lead and shape engineering architecture - set standards for code quality, testing, and development practices across the stack • Mentor and guide other engineers in adopting AI-native workflows, establishing best practices and patterns • Talk directly to customers and translate vague requirements into polished user experiences • Design scalable backend systems (Python, FastAPI, PostgreSQL, GCP) • Build responsive, delightful UIs (React, TypeScript, Tailwind, shadcn/ui) • Write clean, maintainable, and testable code with minimal oversight • Drive architectural decisions and engineering processes that maximize AI-assisted development velocity • Ship fast and learn fast - high urgency environment

• Build LLM agents and automation pipelines that replace manual operational workflows • Design and ship AI-driven care orchestration systems that coordinate treatment journeys across patients, providers, pharmacies, and internal teams • Identify high-value automation opportunities by working directly with clinical and business operations teams • Own and ship both internal and external products used by clinical teams, growth teams, partners, and customers • Talk to users (often internal teams), instrument what you ship, and use the data to decide what to build next • Build and maintain shared services, identity/auth, and HIPAA-compliant data architecture • Ship integrations across CRM and external healthcare systems • Design PHI-safe LLM pipelines, agent orchestration frameworks, evaluation systems, and MCP integrations

• Design and develop software applications using the Go programming language, ensuring high performance, scalability, and reliability • Conduct thorough code reviews, provide constructive feedback, and implement best practices for software development to ensure code quality and maintainability • Create and maintain comprehensive technical documentation for the software components and systems developed • Be on the lookout for operational issues related to our products and support end users • Proactively analyze and resolve technical issues promptly, ensuring minimal disruption to the development process • Stay updated with the latest industry trends, technologies, and best practices, continuously improving the development processes and tools used