Senior Software Engineer

Speedrun Talent Network; Menlo Park (CA); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Hippocratic AI is seeking a backend-focused engineer to scale and maintain infrastructure that powers hospital-scale AI agents. You will design and sustain backend systems with high uptime, build data pipelines for multi-modal healthcare data, and ship performant APIs for ML workflows.

You will work closely with data scientists, ML engineers, and product managers to translate healthcare requirements into production-grade infrastructure, ensuring reliability, scalability, and fast iteration in a

Qualifications

• 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 multi-modal data pipelines using Ray, Airflow, Spark or Hadoop for distributed processing.
• Familiarity with relational database systems and RESTful APIs.
• Basic understanding of cloud infrastructure (AWS, GCP, or similar).
• Exposure to AI/ML concepts or experience with LLMs is a plus.

Responsabilités

• Build scalable, reliable AI infrastructure to support growing healthcare data and LLM processing.
• Engineer data pipelines ingesting and preparing large multi-modal datasets with low latency.
• Ship APIs and microservices to reduce processing time and improve model interaction.
• Develop reproducible ML workflows from data prep to deployment and monitor health.
• Collaborate with data scientists, ML engineers, and product managers to drive production-grade infra.

Connaissances

Backend development

Python/Golang

Data pipelines

Relational databases

RESTful APIs

Cloud fundamentals

Formation

Bachelor's degree in CS/CE or related

Master's preferred

Outils

Ray

Apache Airflow

Spark

Hadoop

Description du poste

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].