Staff AI Engineer

Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.

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.

Location Requirement

We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.

As a Staff AI Engineer at Hippocratic AI, you'll set the technical direction for voice-based generative AI in healthcare. You'll architect the intelligent systems that power our clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design. This is a deeply hands-on and deeply influential role. You'll own one or more core AI domains end-to-end RAG, agent orchestration, evaluation, or real-time voice partnering with AI researchers, product managers, and clinical experts, and mentoring engineers across the org. From designing the patterns other teams build on to bringing advanced language and speech models into production, your work will define how patients and providers safely interact with generative AI at scale. We're looking for senior technical leaders who are passionate about AI in the real world people who set the bar for turning cutting-edge research into robust products and shape the frontier of safe, agentic healthcare systems.

• Architect and own production-grade AI pipelines that power our voice-based generative healthcare agents RAG, multi-step reasoning, agent orchestration, and evaluation systems making the foundational design decisions other teams build on.

• Lead cross-functional initiatives with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.

• Represent engineering in high-stakes clinical and partner conversations.

• Drive zero-to-one bets using state-of-the-art LLMs, retrieval systems, and streaming architectures defining the problem, not just the solution balancing innovation with reliability.

• Set the standard for AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts. Own the safety and evaluation bar across model evaluation, safety testing, and observability. Define the gates every agent must clear before production.

• Mentor senior and mid-level engineers, raise the quality bar through code review and design review, and multiply the impact of the teams around you.

• BS in Computer Science or equivalent

• 6+ years of professional experience in software, ML, or AI engineering.

• Proven track record building and shipping AI- or ML-powered products in production environments.

• Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.

• Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.

• Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).

• Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.

• Experience building or deploying LLM-based or multi-agent systems at scale.

• Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.

• Prior exposure to healthcare, safety-critical domains, or regulated product development.

If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.

Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.

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.