Staff Software Engineer, Hippocratic AI
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 degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience)
- 7+ years of experience in backend development using programming languages like Python, C++, Golang, or similar
- Strong problem-solving skills and a willingness to learn and grow
- Familiarity with relational database systems and RESTful APIs
- Basic understanding of cloud infrastructure (e.g. AWS, GCP)
Desirable
- Exposure to AI/ML concepts or experience working with LLMs
- Experience working in teams that handle sensitive or regulated data
- Familiarity with gRPC, graphQL or similar
- Exposure to DevOps concepts - CI/CD, deployment, terraform, build systems
What the job involves
- Build the next generation of voice agents
- Work with an interdisciplinary team
- Develop highly scalable infrastructure for LLM processing
- Develop and maintain scalable backend systems to support high-performance AI applications in healthcare
- Collaborate with cross-functional teams, including data scientists and ML engineers, to design and build efficient data pipelines for large-scale healthcare datasets
- Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models
- Monitor and improve backend systems to optimize performance, reliability, and uptime
- Work closely with product managers to understand healthcare requirements and help transform them into technical solutions
- Engage in team discussions and knowledge sharing to promote a collaborative and innovative engineering culture
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 5 rounds)
Jan 2025
$141m
SERIES B
Sep 2024
$17m
SERIES A
Total funding: $276m
Company HQ
University South, Palo Alto, CA
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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