Head of Engineering, Hippocratic AI
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
- The ideal candidate is a strategic leader with deep technical expertise and a passion for fostering collaboration and innovation across teams
- Extensive experience in leading and scaling engineering teams in a fast-paced, innovative environment
- Strong software development background, with expertise in modern languages and frameworks (e.g., Python, Java, Go, or similar)
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and distributed systems
- Experience with modern DevOps tools, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform, Kubernetes)
- Knowledge of software architecture, microservices, and system design best practices
- Experience working with AI/ML systems and tools such as TensorFlow, PyTorch, or Hugging Face
- Understanding of LLM lifecycle management, fine-tuning, and serving models in production
- Familiarity with vector databases, embedding models, and retrieval-augmented generation (RAG) architectures
- Hands-on knowledge of data pipelines, model monitoring, and performance optimization techniques for AI applications
- Proven track record of managing and mentoring engineering teams to achieve technical and business excellence
- Strong decision-making and problem-solving skills, with a focus on delivering results
- Excellent communication skills, with the ability to present complex ideas to stakeholders across different disciplines
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
- 8+ years of experience in engineering, with at least 3 years in a senior leadership role
What the job involves
- We are seeking a Head of Engineering to lead and oversee the design, development, and scaling of our core technology infrastructure and software systems
- This is a pivotal role in ensuring that our engineering teams deliver scalable, high-performing, and secure solutions that meet evolving business needs
- Develop and execute the overall engineering strategy, aligning it with the company’s business objectives
- Lead and mentor engineering teams across software development, infrastructure, and product engineering
- Foster a culture of innovation, continuous improvement, and collaboration within and across teams
- Oversee the design, development, and delivery of scalable and robust software solutions
- Ensure the architecture supports future growth, scalability, security, and performance
- Work closely with product management to translate business needs into technical requirements and engineering plans
- Ensure high availability, performance, and reliability of all engineering systems and infrastructure
- Drive improvements to CI/CD pipelines, automation, and development processes
- Collaborate with DevOps and cloud engineering teams to manage cloud infrastructure, ensuring cost-efficiency and resilience
- Partner with research, product, and business teams to support product innovation and new feature development
- Act as a bridge between technical and non-technical stakeholders, effectively communicating key concepts and project progress
- Represent engineering in executive meetings and provide strategic input on company initiatives
- Stay ahead of emerging trends, technologies, and methodologies to keep the organization competitive
- Introduce best practices and modern engineering processes to enhance team productivity and product quality
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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