You will design and build data-driven applications such as performance dashboards and analytics workbenches to surface intelligence for healthcare users. You will also architect end-to-end features by connecting backend models, APIs, and frontend components to deliver actionable insights.
This is a general interest talent network for candidates to be considered for future roles. The goal is to connect thoughtful, driven people with ambitious startups and high-growth companies.
Design and build scalable backend services, APIs, and high-throughput distributed systems to power AI-driven healthcare products. Collaborate with machine learning engineers and data scientists to productionize AI features and build reliable data ingestion pipelines.
Design and build scalable backend services, APIs, and high-throughput distributed systems to power AI-driven healthcare products. Collaborate with machine learning engineers and data scientists to productionize AI features and develop reliable data ingestion pipelines.
Design and build end-to-end customer-facing product features and AI-powered workflows using LLMs. Establish the technical foundation, engineering culture, and scalable cloud infrastructure for a seed-stage healthcare startup.
Design and build the technical foundation of an AI-native healthcare platform, focusing on agent-based systems and scalable data pipelines. Collaborate with leadership to transform scientific ideas into production-ready AI software and customer-facing products.
Design and build scalable backend services, APIs, and data pipelines to power AI-driven healthcare products. Collaborate with machine learning engineers and data scientists to productionize sophisticated models into reliable software.
