• Design, develop, and maintain scalable backend services using Java Spring Boot and modern frontend applications using Angular • Build robust REST APIs, business services, integrations, and user-facing product features • Apply strong engineering practices, including OOP principles, software design patterns, clean code, and secure coding standards throughout the development lifecycle • Participate in system design, architecture discussions, technical decomposition, and solution implementation • Review code, improve application architecture, and enhance maintainability, performance, reliability, and scalability of existing systems • Identify, troubleshoot, and resolve complex technical issues while ensuring high application quality and security • Leverage AI development tools to accelerate coding, testing, refactoring, documentation, and engineering productivity without compromising quality or security • Participate in code reviews, design reviews, root cause analysis, and continuous improvement initiatives • Collaborate closely with Product Managers, Architects, QA Engineers, Designers, and Platform teams to deliver high-quality product increments • Support testing, deployment activities, production releases, and ongoing application enhancements while driving engineering best practices.

• Set the technical direction and architecture for complex, cross-team systems • Contribute to the design and implementation of complex features • Work with other Principal Engineers and Architects across the entire Technical Team, and act as a mentor to Staff and Senior Engineers • Be a trusted technical advisor for various stakeholders such as Engineering Managers, Technical VPs and Product Managers, influencing roadmap and architectural decisions • Be technically talented, able to contribute quality code, and be passionate about the technology - including how AI-assisted tools are changing the way we design, build, and ship software • Perform Code Reviews and coach Developers, Senior Engineers and Staff Engineers on why certain technical approaches need to be taken • Be responsible for the quality, scope, and timeliness of all your deliverables • Champion the adoption of AI-assisted development practices and tools across the team, helping raise the bar on engineering velocity and code quality

• You build a highly innovative MedTech tool. • You act as the Technical Lead within the team, make architectural decisions, and conduct code reviews. • You design, develop, and maintain backend services and implement APIs. • You collaborate with frontend developers to build end-to-end web applications. • You take responsibility for cloud deployment, monitoring, and the reliability of services. • You ensure code quality, testing, documentation, and DevOps best practices. • You brainstorm with product managers and R&D engineers about the product roadmap.

• Temporal workflows that orchestrate multi-step AI operations: product attribution, laydown image generation, outfit creation, and outfit copy generation • Backend services in Clojure that integrate with LLM APIs (GPT, Gemini, etc.), manage context and prompts, handle streaming responses, and process structured outputs • Data models and PostgreSQL schemas that support complex AI workflows, vector embeddings, and integration with our existing product catalog • RAG pipelines using Qdrant for semantic search, similarity matching, and context retrieval that powers smarter AI recommendations • ClojureScript UIs for review workflows where humans validate, edit, and improve AI-generated content • APIs and data pipelines that connect everything together, monitoring systems that track AI quality, and the infrastructure that lets us ship fast