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Staff AI Engineer (Life Sciences)

Hippocratic AI · Palo Alto, United States

External listingfull-time2 months ago

About The Role

Join Hippocratic AI as a Staff AI Engineer, where you'll set the technical direction for voice-based generative AI in healthcare. You'll architect intelligent systems that power clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design. This deeply hands-on and influential role involves owning core AI domains, leading cross-functional initiatives, and mentoring engineers across the organization.

  • Architect and own production-grade AI pipelines that power voice-based generative healthcare agents, making foundational design decisions.
  • Lead cross-functional initiatives with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.
  • 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.
  • 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
  • Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring)
  • 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
  • Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains
  • Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly
  • Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines
  • 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

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