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Performance Engineer at Hippocratic AI | Palo Alto

On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Proven experience in performance engineering and testing in complex systems. Strong proficiency with automated testing tools and frameworks. Familiarity with ML infrastructure and backend services. Excellent analytical and problem-solving skills. Ability to work collaboratively in a fast-paced, dynamic environment.

About the job

About Hippocratic AI

Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions.

Our Mission and Team

The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.

Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner.

Role Overview: Performance Engineer

The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications.

Key Responsibilities

  • Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage).
  • Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions.
  • Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health.

Location

This position is based in Palo Alto.

About Hippocratic AI

Hippocratic AI is pioneering the use of generative AI in healthcare, focusing on safety and accuracy to improve patient interactions and outcomes. Our innovative systems are designed to advance the medical field, backed by significant funding and a team of industry leaders.

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