As a Senior Staff AI Engineer at Hippocratic AI, you'll define the multi-year technical strategy for voice-based generative AI in healthcare. You'll architect the foundational platforms that power our clinically safe healthcare agents across every partner and product line, operating at the intersection of large language models, real-time voice, and human-centered product design. This is one of the most senior individual contributor roles at the company. You'll set direction across multiple AI domains RAG, agent orchestration, evaluation, real-time voice, and safety partnering directly with the executive team, AI researchers, product leaders, and clinical experts, and mentoring Staff and Senior engineers across the org. From defining the architectural bets that shape the next generation of our platform to representing Hippocratic AI externally in the research and healthcare communities, your work will determine how patients and providers safely interact with generative AI at scale for years to come. We're looking for principal-level technical leaders who have already built and scaled foundational AI systems people who identify the problems others haven't seen yet, rally teams around ambitious bets, and set the technical bar for an entire organization.
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.
What You'll Do:
Define the multi-year technical strategy and architectural roadmap for our AI platform RAG, multi-agent systems, real-time voice, evaluation, and safety — and align leadership, engineering, and research around it.
Architect foundational platforms and systems used across multiple products, teams, and partners. Make the load-bearing technical decisions that the company will build on for years.
Partner directly with the executive team, product leadership, and clinical leadership to translate long-range healthcare goals into technical bets.
Represent engineering in board-level, partner, and regulatory conversations. Identify and drive the zero-to-one and one-to-n bets that expand what's possible deciding not just how to solve problems, but which problems are worth solving.
Own the company-wide safety and evaluation bar. Set the standards, gates, and measurement systems that every agent, every partner deployment, and every model change must clear.
Grow the technical bench: mentor Staff and Senior engineers, shape hiring and leveling, and multiply the impact of every team you touch.
Represent Hippocratic AI externally through publications, conference talks, partner engagements, and the broader healthcare AI community.
What You Bring
Must Have:
10+ 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.
Nice-to-Have:
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.