Entry-Level Software Engineer (Backend) –AI- Powered Healthcare Solutions
Palo Alto
About Us:
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.
Why Join Our Team:
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 www.HippocraticAI.com.
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 an entry-level Software Engineer 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 the backend infrastructure that supports scalable and secure AI-driven applications in healthcare, with plenty of opportunities to learn and grow alongside experienced mentors.
What You’ll Do:
Build and maintain backend systems to support AI applications in healthcare.
Collaborate with cross-functional teams, including data scientists and ML engineers, to develop efficient data pipelines.
Help design APIs and microservices for smooth data retrieval and interaction with AI models.
Assist in implementing data security and privacy measures to protect sensitive healthcare data.
Monitor backend performance and help troubleshoot issues as they arise.
Participate in team discussions and contribute to knowledge sharing within the team.
Work closely with product managers to understand user requirements and assist in transforming them into technical solutions.
What We’re Looking For (Must-Have):
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent coursework/projects).
Familiarity with programming languages such as Python, Java, or similar through coursework, internships, or personal projects.
Basic understanding of how cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools (like Docker) work.
Exposure to working with databases and building simple RESTful APIs.
Strong problem-solving mindset and eagerness to learn new technologies.
Nice-to-Have (But Not Required):
Experience with personal or academic projects involving backend development.
Familiarity with DevOps practices (e.g., CI/CD pipelines, version control) or container orchestration (e.g., Kubernetes).
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.
Why Join Us:
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure CI/CD Computer Science Data pipelines DevOps Django Docker Engineering Flask GCP Java Kubernetes LLMs Machine Learning Microservices Pipelines Privacy Python Security
Perks/benefits: Career development
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