Develop and maintain performant, reliable front-end software for customer-facing scientific workflow applications. Build features with TypeScript, HTML, CSS, and React; translate UI/UX designs into production code; review contributions; support CI/CD and deployment workflows; troubleshoot bugs; assist teammates; and contribute to architectural planning. The role requires collaboration across disciplines and offers opportunities to work with backend technologies such as Python and Node.js.

Design, build, and operate AWS-based microservices and asynchronous workflows powering AI-driven laboratory protocol generation. Develop NLP pipelines, classifiers, embedding and RAG infrastructure, evaluation frameworks, guardrails, cost monitoring, and observability. Integrate AI systems into production SaaS architecture, ensure reliability and safe scaling, and support post-launch operations through debugging, incident response, and continuous improvement.