Principal Software Engineer, Hippocratic AI
Applied Artificial Intelligence
5 days a week in office (Palo Alto, CA)
Large Language Model for healthcare
Be an early applicant
Large Language Model for healthcare
21-100 employees
Be an early applicant
5 days a week in office (Palo Alto, CA)
21-100 employees
Company mission
Hippocratic AI’s mission is to develop the first safest focused Large Language Model (LLM) for healthcare.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- 10+ years of experience in backend development with proficiency in languages like Python, Java, or Scala
- Expertise in vector databases and retrieval systems optimized for high-performance AI/ML applications
- In-depth knowledge of cloud platforms (AWS, GCP, or Azure) and DevOps practices, including Docker, Kubernetes, and CI/CD
- Strong understanding of data security, privacy measures, and data modeling
- Excellent communication skills and experience working collaboratively within cross-functional teams
Desirable
- Familiarity with cutting-edge LLM tools and frameworks such as Langchain
- Previous experience in healthcare-related technologies or regulated data environments
What the job involves
- As a Principal Software Engineer, you will work alongside a dynamic team of engineers, applied scientists, and healthcare professionals to drive advancements in our generative AI technologies
- Your focus will be on building and optimizing the backend infrastructure of our core healthcare AI platform, supporting scalable, secure, and reliable data processing for AI applications in healthcare
- Architect, develop, and maintain scalable backend infrastructure to support high-performance healthcare AI applications
- Collaborate with research scientists and ML engineers to build data pipelines that efficiently handle large-scale healthcare datasets
- Develop and manage APIs and microservices for seamless data retrieval, processing, and model interaction
- Implement advanced data security and privacy protocols to ensure robust patient data protection
- Continuously monitor and enhance backend systems to maximize performance, reliability, and uptime
- Work with product managers to translate healthcare needs into technical solutions that enhance patient outcomes
- Mentor junior engineers, providing guidance on technical projects and fostering a culture of collaboration and innovation
Our take
The healthcare system is under increasing pressure to improve performance and patient outcomes, while battling inefficient operations and an ongoing staff shortage. Hippocratic AI hopes to help the industry address these issues, by supplying LLM-powered healthcare agents.
Hippocratic's agents can be employed in a number of scenarios, for example follow-ups with discharged patients, health risk assessments, or pre-op chats. Rather than delivering one conversational agent, the company has specified models that deal with different conditions - just one part of its safety-focussed approach.
By taking measures such as getting real nurses to assess its AI, Hippocratic solidifies this commitment to safety. The company has seen significant investment which it will use to fund further safety tests and develop its product moving forwards.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Sep 2024
$17m
SERIES A
Mar 2024
$53m
SERIES A
Total funding: $135m
Company HQ
University South, Palo Alto, CA
Articles
Leadership
Munjal Shah
(CEO)Formerly CEO and Co-founder of Health IQ. Also co-founded Like.com, which was acquired by Google, and Andale Inc that was acquired by Vendio and then Alibaba.
Vishal Parikh
(CPO)Co-founded Health IQ, where they worked as CTO, CRO then CPO. Founded and was a Software Architect at Motiv Power Systems.
Meenesh Bhimani MD, MHA
(Chief Medical Officer)Former COO of El Camino Health. Has worked in several roles at O'Connor Hospital, most recently Hospital Executive/COO. Earned their MD at The Johns Hopkins University School of Medicine.
Subhabrata Mukherjee
(Chief Scientific Officer)Was Principal Researcher at Microsoft Research (MSR) Redmond for 4 years, and before that a Machine Learning Scientist at Amazon. Earned a PhD from the Max Planck Institute for Informatics.
Alex Miller
(COO)Previously Co-founder and SVP of Engineering and Sales Operations at Health IQ. Also co-founded and was CTO at Jump Gaming.
Saad Godil
(CTO)Previously spent 15 years at NVIDIA, as Director of Verification (GPU) then Director of Applied Deep Learning Research.
Kim Parikh
(SVP - Data & Content)Former VP of Strategy and Operations at Health IQ. Also worked in High Yield and Leveraged Finance at PIMCO, and Derivatives And Leveraged Finance at Western Asset Management.
Debajyoti Datta
(AI Research Scientist)Earned a PhD in Machine Learning from the University of Virginia. Has worked as a Machine Learning Engineer for x.ai, Research Engineer for Crossing Minds and Machine Learning Fellow at Intuition Machines.
Paul Gamble
(Director of Clinical AI)Was a Clinician Scientist at Google for 3.5 years, and prior to this a Data Scientist at In-Q-Tel.
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