Senior Software Engineer

Hippocratic AI Inc.; Menlo Park (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Hippocratic AI Inc. is seeking a backend-focused engineer to own scalable infrastructure powering hospital-grade AI agents. You will design backend systems, data pipelines, and APIs to support high-volume healthcare data and ML workloads in a production environment.

The role emphasizes building reliable, scalable infrastructure, collaborating with data scientists and ML engineers, and delivering production-ready features that accelerate AI capabilities in healthcare.

Qualifications

• Bachelor's degree in CS/CE (Master's preferred)
• 4+ years of backend development using Python, Golang or similar
• Experience building multi-modal data pipelines with Ray, Airflow or similar
• Familiarity with relational databases and RESTful APIs
• Basic understanding of cloud infrastructure (AWS, GCP, etc.)

Responsibilities

• Architect backend systems with 99.9%+ uptime for high-volume healthcare data and LLM processing
• Design data pipelines for large-scale, multi-modal datasets with low latency
• Develop APIs and microservices to improve model interaction and data retrieval
• Build and optimize infrastructure for data ingestion, feature extraction, and tagging workflows

Skills

Backend development

Python/Golang

Data pipelines

Relational DB & REST APIs

Cloud fundamentals

Education

Bachelor's degree in CS/CE

Master's preferred

Tools

Ray

Apache Airflow

Spark/Hadoop

Docker

Kubernetes

Job description

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.

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 [e-mail].