Lead Frontend Engineer, Hippocratic AI
5 days a week in office (Palo Alto, CA)
Large Language Model for healthcare
Job no longer available
Large Language Model for healthcare
201-500 employees
Job no longer available
5 days a week in office (Palo Alto, CA)
201-500 employees
Company mission
To close the growing shortage of healthcare workers worldwide.
Role
Who you are
- We are looking for an exceptional frontend engineering leader who obsesses over quality, thrives in fast-moving environments, and is passionate about crafting user-centric experiences for high-stakes healthcare applications
- 5+ years of frontend engineering experience with deep expertise in TypeScript, React, and modern UI frameworks
- Proven ability to architect scalable frontend systems and deliver high-quality, production-grade code
- Strong understanding of design systems, component libraries, state management, and frontend performance
- Experience integrating with RESTful APIs and collaborating effectively with backend and platform teams
- Excellent communication, product thinking, and cross-functional collaboration skills
- Familiarity with agile development practices and modern frontend DevOps/CI tooling
- If you’re a front-end engineer passionate about building beautiful, performant, AI-powered, user-facing experiences and ready to work on cutting-edge B2B products that make a real impact in healthcare, we’d love to hear from you
Desirable
- Experience developing and publishing cross-platform mobile apps using Flutter, React Native, or native iOS/Android SDKs
- Hands-on experience building LLM-powered applications or integrating generative AI into production systems
- Familiarity with backend systems (Python/Flask, Node.js, or similar) and cloud infrastructure workflows (Terraform, AWS)
What the job involves
- As a Lead Frontend Engineer at Hippocratic AI, you will play a pivotal role in shaping the future of AI-powered healthcare voice agents through the development of our Generative AI SaaS products
- You will lead the frontend vision and execution across our web and mobile surfaces, creating intelligent, intuitive, and accessible user experiences that power safe, scalable, and transformative healthcare interactions
- This is a highly collaborative role where you will partner closely with AI researchers, product managers, designers, and healthcare professionals to translate complex clinical and technical requirements into elegant, performant UI systems
- From designing rich dashboards to optimizing real-time interactions and building components that scale across product lines, your work will directly influence how patients and providers engage with next-generation AI in both clinical and consumer settings
- Lead the architecture, development, and delivery of modern B2B SaaS frontends using TypeScript, React, and Material UI
- Build scalable component systems, design frameworks, and frontend infrastructure that enable rapid product iteration
- Collaborate cross-functionally with product, design, research, and clinical teams to translate requirements into seamless, user-focused interfaces
- Integrate with backend and AI systems through well-structured API contracts and real-time data flows
- Drive code quality, performance, accessibility, and best practices across the frontend organization
- Mentor engineers, shape engineering standards, and influence overall product and UI strategy
- Stay current with emerging frontend technologies, AI-driven workflows, and design trends to enhance product capability and developer velocity
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-focused approach.
By taking measures such as getting real nurses to assess its AI, Hippocratic solidifies this commitment to safety. And it's seen significant investments, which it's using to further fund safety tests as well as develop its product. It's partnered with EUCALIA to bring generative AI to Japan and is expanding its life sciences executive team, putting the company on a good growth trajectory.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Nov 2025
$126m
SERIES C
Jan 2025
$141m
SERIES B
Total funding: $402m
Company HQ
Ventura, Palo Alto, CA
Leadership
Munjal Shah
(Co-Founder & 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
(Co-Founder & 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
(Co-Founder & 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
(Co-Founder & 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
(Co-Founder)Previously Co-founder and SVP of Engineering and Sales Operations at Health IQ. Also co-founded and was CTO at Jump Gaming.
Saad Godil
(Co-Founder & CTO)Previously spent 15 years at NVIDIA, as Director of Verification (GPU) then Director of Applied Deep Learning Research.
Kim Parikh
(Co-Founder)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
(Co-Founder & Director)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.
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