Hippocratic AI
About Us
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.
Why Join Our Team
Innovative Mission:
We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership:
Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors:
We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team:
Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.
About the Role As an
AI Engineer at Hippocratic AI , you’ll play a pivotal role in shaping the future of
voice-based generative AI in healthcare . You’ll design and build 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 cross‑functional role , partnering closely with
AI researchers, product managers, and clinical experts
to bring advanced language and speech models into production. From building scalable RAG and multi‑agent pipelines to conversational interactions, your work will directly influence how patients and providers safely interact with generative AI at scale.
We’re looking for experienced engineers who are passionate about
AI in the real world —people who love taking cutting‑edge research, turning it into robust products, and advancing the frontier of what’s possible in
safe, agentic healthcare systems .
What You'll Do:
Design, build, and optimize
production‑grade AI pipelines
that power our
voice‑based generative healthcare agents —from retrieval‑augmented generation (RAG) to multi‑step reasoning systems.
Collaborate cross‑functionally with
product, clinical, and engineering teams
to translate healthcare workflows into safe, scalable, and human‑centered AI experiences.
Prototype and deploy
zero‑to‑one features
using state‑of‑the‑art LLMs, retrieval systems, and streaming architectures—balancing innovation with reliability.
Develop and refine
AI‑native workflows
that support real‑time, conversational, and long‑running interactions across diverse healthcare contexts.
Drive continuous improvement in
model evaluation, safety testing, and observability , ensuring every agent interaction meets clinical safety standards
What You Bring Must Have:
3+ 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.
***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. If anything.
#J-18808-Ljbffr
Why Join Our Team
Innovative Mission:
We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership:
Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors:
We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team:
Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
For more information, visit www.HippocraticAI.com.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.
About the Role As an
AI Engineer at Hippocratic AI , you’ll play a pivotal role in shaping the future of
voice-based generative AI in healthcare . You’ll design and build 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 cross‑functional role , partnering closely with
AI researchers, product managers, and clinical experts
to bring advanced language and speech models into production. From building scalable RAG and multi‑agent pipelines to conversational interactions, your work will directly influence how patients and providers safely interact with generative AI at scale.
We’re looking for experienced engineers who are passionate about
AI in the real world —people who love taking cutting‑edge research, turning it into robust products, and advancing the frontier of what’s possible in
safe, agentic healthcare systems .
What You'll Do:
Design, build, and optimize
production‑grade AI pipelines
that power our
voice‑based generative healthcare agents —from retrieval‑augmented generation (RAG) to multi‑step reasoning systems.
Collaborate cross‑functionally with
product, clinical, and engineering teams
to translate healthcare workflows into safe, scalable, and human‑centered AI experiences.
Prototype and deploy
zero‑to‑one features
using state‑of‑the‑art LLMs, retrieval systems, and streaming architectures—balancing innovation with reliability.
Develop and refine
AI‑native workflows
that support real‑time, conversational, and long‑running interactions across diverse healthcare contexts.
Drive continuous improvement in
model evaluation, safety testing, and observability , ensuring every agent interaction meets clinical safety standards
What You Bring Must Have:
3+ 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.
***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. If anything.
#J-18808-Ljbffr