You will build and operate production Kubernetes infrastructure while managing AWS environments and customer deployments. Additionally, you will develop reliable CI/CD pipelines and collaborate with engineering teams to improve platform observability, security, and scalability.
You will work directly with pharmaceutical customers to design, prototype, and deploy AI-powered solutions that address complex technical and business workflows. This involves translating ambiguous requirements into clear technical architectures and collaborating across engineering and product teams to ensure successful production deployments.
You will build production-grade AI systems and workflows tailored for pharmaceutical, medical, and patient-centric applications. This involves designing retrieval systems, developing evaluation frameworks, and collaborating with domain experts to translate complex scientific workflows into technical solutions.
You will build and productionize AI systems, including LLM pipelines, agents, and real-time voice systems. Additionally, you will design evaluation suites and maintain backend infrastructure to ensure reliable, scalable AI products.
Own the end-to-end UI/UX process from initial sketches and wireframes to production-ready code. Build and ship scalable web applications using React and TypeScript while maintaining a consistent design system.
Build and ship responsive, scalable web applications using React and TypeScript while collaborating with design and backend teams. Focus on optimizing application performance, implementing robust component architecture, and integrating REST/GraphQL APIs.
The role involves deploying and customizing data-driven product solutions for pharmaceutical clients by bridging the gap between business needs and technical engineering. Responsibilities include writing SQL queries for healthcare datasets and utilizing AI/LLM tools to generate insights and scalable product features.
