Founding Frontend Engineer at VectorShift

Skills and Technologies

ReactNext.jsUIPythonWeb Performance

Level of Experience

Region

Salary Range: $80000 - $160000

As a Founding Frontend Engineer, you will have the unique opportunity to shape the DNA of our user experience. Given the no/low-code nature of our platform, we're seeking someone who is not only technically adept but also deeply passionate about creating an engaging, intuitive, and performant user interface.

Responsibilities:

  • Work directly with the founders to conceptualize and implement an exceptional user interface.
  • Lead frontend architecture decisions, ensuring the platform is scalable and maintainable.
  • Drive forward web performance optimization.
  • Advocate for and implement UI/UX best practices, ensuring users are at the heart of every design decision.
  • Incorporate user feedback to continuously iterate and refine the platform.
  • Stay updated with the latest frontend technologies and integrate them where relevant.
  • Establish foundational frontend practices that will guide future team members.

Requirements

  • Degree in a technical discipline, preferably computer science.
  • Experience with React/NextJS or similar frontend frameworks.
  • Experience with the entire web development process (design, development, and deployment).
  • Ability to integrate seamlessly with backend APIs.
  • Familiarity with source control tools, preferably Git.
  • In-depth knowledge of responsive design.
  • A keen eye for user experience and UI design.
  • Strong communication skills and a collaborative mindset.
  • Problem-solving aptitude and enthusiasm for overcoming challenges.

Nice to have

  • Experience in early-stage startup environments.
  • Experience with no/low-code platforms.
  • Understanding of web performance optimization and best practices.
  • Familiarity with Python FastAPI or similar backend frameworks.

Benefits

  • Health, dental, and vision insurance.
  • Daily food stipend

About VectorShift

VectorShift provides tooling to create custom AI workflows quickly. End-users can run and modify these pipelines using our no-code platform, and developers can ship complex production-grade AI chains directly to end-users using our API and SDK. In addition to expanding our core platform, we are working with several >$1bn revenue enterprises to pilot our solutions for specific high-impact use cases.

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