Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.
Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.
Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.
Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.
World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.
For more information, visit .
Our team values in-person collaboration, with on-site presence expected five days a week in Palo Alto, CA unless otherwise specified.
About the Role:
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.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).
Familiarity with Python through coursework, internships, or personal projects.
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.
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.
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.
We’re excited to meet passionate engineers who are eager to make a difference. If you’re enthusiastic about learning and applying your skills to cutting-edge technology, we encourage you to apply!
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