Senior Backend Engineer, Hippocratic AI
Office located in Palo Alto, CA
Large Language Model for healthcare
Open for applications
Large Language Model for healthcare
21-100 employees
Open for applications
Office located in 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
- At least 5 years of professional experience in backend development
- Strong proficiency in one or more programming languages such as Python, Java, or Scala
- Expertise in vector database technology and designing retrieval systems for high-performance machine learning applications
- Knowledge of data modeling, database design, and SQL
- Experience with cloud computing platforms such as AWS, GCP, or Azure
- Familiarity with DevOps principles and tools such as Docker, Kubernetes, and CI/CD pipelines
- Strong problem-solving skills and ability to work independently and collaboratively in a team environment
- Experience with technologies such as Langchain is a plus
- Excellent communication and interpersonal skills
What the job involves
- As a Senior Backend Engineer, you will have the opportunity to work with a talented team of engineers, data scientists, and healthcare professionals to develop cutting-edge technologies that transform the healthcare industry
- You will be responsible for developing and maintaining the backend infrastructure that powers our core Healthcare AI platform
- You will work closely with data scientists, machine learning engineers, and product managers to build scalable and reliable systems that retrieve and process vast amounts of healthcare data to train and operate our AI models
- Design, develop, and maintain backend infrastructure
- Collaborate with data scientists and machine learning engineers to design and implement scalable data pipelines
- Build and maintain APIs and microservices that enable efficient and reliable data retrieval and processing
- Develop and implement robust data security and privacy measures to protect sensitive patient information
- Monitor and optimize the performance of backend systems to ensure maximum efficiency and uptime
- Work closely with product managers to understand customer needs and requirements and translate them into technical solutions
- Mentor and provide technical guidance to junior engineers
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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