Soulside AI

• Full-Stack Feature Development: Build and maintain responsive, high-fidelity web applications using React and TypeScript, backed by core services written in Spring Boot. • Backend & Distributed Systems: Architect and develop backend services that process sensitive healthcare data, leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads. • Complex Data Implementation: Design and implement the technical logic and schemas that power the platform, translating multifaceted domain requirements into structured, scalable configurations across the frontend and backend. • LLM Integration: Design and optimize LLM pipelines, including prompt engineering, usage monitoring, and quality assurance to validate structured AI outputs. • Reliability & Observability: Implement monitoring, alerting, and observability (e.g., Prometheus, Grafana), along with data reliability patterns such as redundancy, retries, and graceful failure handling. • Security & Compliance: Apply security best practices using Spring Security, implement RBAC, and help ensure HIPAA compliance for clinical data. • Platform Reliability: Proactively identify, troubleshoot, and resolve bugs and support issues across the stack to ensure a seamless experience for clinicians. • Foundational Decisions: Make technical decisions—and build the internal tooling and workflows—that will scale as we grow from ten clinics to ten thousand. • Collaboration: Work directly with founders and clinical teams to translate healthcare needs into scalable technical solutions.

• Test Planning & Case Design: Create detailed, well-structured test cases and comprehensive test suites that cover functional, regression, and edge-case scenarios for our AI-powered features. • End-to-End Testing: Take ownership of manual testing for our web-based clinical dashboards, ensuring complex workflows (like audio recording and AI note generation) work flawlessly. • Automation Growth: Design and implement automated test scripts for critical paths using modern frameworks (e.g., Cypress or Playwright) to supplement manual efforts. • API Validation: Test our backend integrations and data states to ensure seamless communication between our frontend and backend applications. • Compliance & Accuracy: Validate that AI-generated clinical notes meet specific compliance criteria. • Bug Lifecycle Management: Identify, document, and track bugs to resolution, collaborating closely with developers to ensure quick fixes without regressions. • Release Readiness: Perform smoke and sanity testing for frequent feature releases to maintain a stable production environment.

• Build and maintain responsive, high-fidelity web applications using React and TypeScript. • Design and implement the technical logic and schemas that power our core platform. • Proactively identify, troubleshoot, and resolve frontend bugs and support issues. • Take ownership of the technical setup for new accounts. • Help develop internal workflows and tools that allow us to scale our platform's capabilities. • Work with the engineering team to monitor platform health and implement frontend optimizations.