Principal Software Engineer, Hippocratic AI

Salary not provided
SQL
AWS
Docker
Kubernetes
GCP
Python
Scala
Java
Azure
Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

Hippocratic AI

Large Language Model for healthcare

Open for applications

Hippocratic AI

Large Language Model for healthcare

21-100 employees

HealthcareB2BArtificial IntelligenceEnterpriseDeep TechSaaS

Open for applications

Salary not provided
SQL
AWS
Docker
Kubernetes
GCP
Python
Scala
Java
Azure
Expert level
San Francisco Bay Area

Office located in Palo Alto, CA

21-100 employees

HealthcareB2BArtificial IntelligenceEnterpriseDeep TechSaaS

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 10 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 Principal Software Engineer, you will have the opportunity to work with a talented team of engineers, research and applied scientists, and healthcare clinicians to develop cutting-edge generative AI 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 research 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 research 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 headshot

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

Leadership

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.

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.

Previously Co-founder and SVP of Engineering and Sales Operations at Health IQ. Also co-founded and was CTO at Jump Gaming.

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.

Salary benchmarks

We don't have enough data yet to provide salary benchmarks for this role.

Submit your salary to help other candidates with crowdsourced salary estimates.

Share this job

View 7 more jobs at Hippocratic AI