Senior Software Engineer, Research

Senior Research Engineer About The Role Hippocratic AI's AI agents are already working inside real hospitals and health systems — this role owns the backend infrastructure that keeps them fast, reliable, and ready to scale as that footprint grows. You'll architect systems built for tomorrow's volume, not just today's, working closely with data scientists, ML engineers, and product managers to turn healthcare requirements into production-grade infrastructure. What You'll Do Build Scalable, Reliable AI Infrastructure Architect backend systems that sustain 99.9%+ uptime for high-volume healthcare data and LLM processing as usage grows exponentiallyImplement monitoring that surfaces issues before they reach production AI agentsOwn performance and reliability improvements across backend systems in collaboration with data scientists and ML engineers Engineer Data Pipelines for Healthcare AI Design data pipelines that ingest, process, and prepare large-scale, multi-modal (speech, vision, text) healthcare datasets for training and inference with minimal latencyBuild tag management and metadata systems that make large datasets organized and retrievableDevelop and optimize infrastructure supporting data ingestion, feature extraction, and tagging workflows Ship APIs and ML Enablement Develop APIs and microservices that reduce processing time and improve responsiveness for AI model interaction and data retrievalBuild infrastructure that makes ML workflows reproducible end-to-end, from data preparation through model deploymentAccelerate time-to-production for new AI capabilities Location and Travel We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week. What You Bring Must-Have Bachelor's degree in Computer Science, Computer Engineering, or a related field (Master's preferred)4+ years of backend development experience using Python, Golang, or similar languagesExperience building and maintaining multi-modal (speech, vision, text) data pipelines using Ray, Apache Airflow, or similar for distributed processing and model experimentation, including distributed computing frameworks like Spark or HadoopFamiliarity with relational database systems and RESTful APIsBasic understanding of cloud infrastructure (AWS, GCP, or similar) Nice-to-Have Exposure to AI/ML concepts or experience working with LLMsExperience working in teams that handle sensitive or regulated dataFamiliarity with gRPC, GraphQL, or similarExperience with real-time audioExposure to DevOps concepts — CI/CD, deployment, Terraform, build systemsExperience with data science What Success Looks Like Within 6-12 months, the backend systems you've built or hardened are sustaining 99.9%+ uptime under exponential growth in healthcare data and LLM traffic. New AI capabilities move from data preparation to production faster because the ML workflows and pipelines you designed are reproducible end-to-end. Your monitoring catches issues before they ever reach a live AI agent in a hospital setting. Why Join Hippocratic AI Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation. Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative. Equal Opportunity Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com. Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.