Role description
Hippocractic AISenior Software 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 exponentially
Implement monitoring that surfaces issues before they reach production AI agents
Own 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 latency
Build tag management and metadata systems that make large datasets organized and retrievable
Develop 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 retrieval
Build infrastructure that makes ML workflows reproducible end-to-end, from data preparation through model deployment
Accelerate 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 languages
Experience 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 Hadoop
Familiarity with relational database systems and RESTful APIs
Basic understanding of cloud infrastructure (AWS, GCP, or similar)
Nice-to-Have
Exposure to AI/ML concepts or experience working with LLMs
Experience working in teams that handle sensitive or regulated data
Familiarity with gRPC, GraphQL, or similar
Experience with real-time audio
Exposure to DevOps concepts — CI/CD, deployment, Terraform, build systems
Experience 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.