Full Stack Engineer (Next) Job at Health Universe, San Francisco, CA

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  • Health Universe
  • San Francisco, CA

Job Description

At Health Universe, we're on a mission to revolutionize science and medicine. We're seeking an accomplished Full Stack Engineer to join our team to enhance our platform. This role offers the exciting opportunity to work at the intersection of healthcare and AI with a focus on building features and pages for our web application that is central to the user experience of Health Universe.

Required Skill: Next.js, Agentic workflows

As a Full Stack Engineer, you'll play a pivotal role in shaping our product. You'll enable health data scientists to deploy cutting-edge ML apps to our cloud platform that empowers doctors to improve patient outcomes all over the world. If you're great at Next.js, have experience with LLMs and LangChain and are excited about working in AI to make a huge impact on the world, we want to hear from you.

Key Responsibilities:

  • Develop, and refine our Next web application and manage our cloud infrastructure.
  • Support a UX that enables data scientists to run python applications on our cloud.
  • Collaborate with our developer team to transform user requirements into compelling features.
  • Champion data protection and security, ensuring our application complies with industry regulations.
  • Troubleshoot and optimize application performance, maintaining our reputation for excellence and reliability.
  • Share your expertise and passion through code reviews, helping to elevate our team and our technology.

Required Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years experience in Javascript / Next.js, Git, and HTML/CSS.
  • Familiarity with ML concepts, including libraries like OpenAI and LangChain.
  • Strong problem-solving skills, an eye for detail, and a team-first mentality.
  • Exceptional communication skills, with a knack for demystifying complex technical concepts.

Desirable:

  • Familiarity with the ML libraries such as LangChain, Torch, Tensorflow, and Scikit-Learn.
  • Experience in healthcare, either in research or clinical settings is strongly desired.
  • Proficiency in Docker or other containerization technologies.
  • Familiarity with Agile development methodologies and fast-paced startup life.

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