• AI-Augmented Development: Use Cursor, Copilot, and LLM APIs as first-class engineering tools — not as an afterthought. Generate, validate, and iterate on code at machine speed. • Claude Agent Team Orchestration: Design and operate teams of Claude agents to parallelize engineering work — breaking large tasks into agent-executable subtasks, managing context handoffs between agents, and coordinating outputs into coherent, production-ready deliverables. This is a core competency, not a bonus. • Full-Stack Feature Ownership: Drive end-to-end delivery across Node.js backends and Next.js frontends, from schema design to production deployment. • LLM Product Integration: Build and iterate on AI-powered product features — prompt pipelines, RAG architectures, structured output parsing, and agentic workflows embedded into clinical and consumer interfaces. • Production Quality: Maintain high standards for API contracts, database schema migrations, CI/CD pipelines, and observability. AI-generated code is your code — you own its correctness. • Compliance & Security: Ensure all systems meet HIPAA/SOC2 standards, focusing on data encryption, audit logs, and PII protection.

• Design, build, and maintain a high-performance, high-availability, and fraud-tolerant technology platform for B2B transactions with minimal guidance • Hands-on solution design and development in Java/Springboot to deliver trustworthy and smooth functionalities to our users • Iterate on technical solutions with Frontend and DevOps teams, and ensure that they are scalable and extensible • Implement solutions you’ve designed and deploy them into production, with a sharp eye for product quality and user experience • Identify and address performance or process bottlenecks within the applications and broader infrastructure • Monitor, debug, and fix issues in production at high velocity based on user impact • Participate in technology reviews, hiring interviews, and code reviews to progressively scale the engineering organization and our practices

• Provide technical support to the team on projects, ensuring technical quality and development effectiveness; • Maintain existing features; • Produce technical documentation within the team's scope; • Investigate and resolve issues in the production environment; • Collaborate with the team in defining new approaches or technologies.

• Completing AI training tasks such as analyzing, editing, and writing Java • Judging the performance of AI in performing Java-related prompts • Improving cutting-edge AI models