Agent Deployment Engineer, Hippocratic AI
Contract
5 days a week in office (Palo Alto, CA)
Large Language Model for healthcare
Open for applications
Large Language Model for healthcare
21-100 employees
Open for applications
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 coursework/projects)
- 2+ years industry experience
- Experience with Python
- Experience with LLM prompting (chatGPT, Claude, etc) through professional or personal use
- Exposure to working with databases and building simple RESTful APIs
- Strong problem-solving mindset and eagerness to learn new technologies
Desirable
- Experience with personal or academic projects involving backend development
- Basic understanding of AI/ML concepts or a desire to learn about them
- Knowledge of modern web frameworks (e.g., Flask, Django, or Spring Boot)
- Awareness of data privacy and security best practices, especially in regulated environments
What the job involves
- We're seeking a Junior AI Engineer, Prompting to join our collaborative team of engineers, scientists, and healthcare professionals working on transformative AI solutions
- In this role, you'll help develop and maintain our conversation layer using a mix of software and prompting skills to allow our AI agent facilitate autonomous conversations
- Develop complex prompts in our SOTA conversation planning layer to enable complex agentic model workflows
- Collaborate with Product Managers, Software Engineers and Clinicians to create fully autonomous, clinical conversations
- Write, configure and iterate on prompts to create engaging, patient-oriented conversations
- Use advanced prompting techniques to develop and optimize prompts for language models to improve model performance, clinical safety, and patient experience
- Conduct experiments and analyze outcomes of model outputs to refine and iterate on prompt strategies
- Be part of an innovative team creating impactful AI solutions in the healthcare space
- Receive mentorship and hands-on training to advance your technical and professional skills
- Collaborate in a supportive, team-driven environment that values learning and development
- Work on meaningful projects with real-world applications in patient care
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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