Engenious

Frontend Engineer — San Francisco (Remote)

San Francisco, CA, USPosted 2 months ago

Job Description

*About Engenious*

Engenious is a technology company building next-generation AI products that transform how people work, learn, and create.

We partner with fast-growing startups and global companies to design and scale intelligent systems — from AI-powered applications to full-stack platforms used by millions.

Our team combines deep engineering expertise with product thinking to deliver solutions that are not just technically strong, but genuinely useful.

About the Role

We’re looking for a Frontend Engineer to join our team and work on AI-driven products.

In this role, you will be working as part of an Engenious team embedded with one of our clients, a leading technology company building products used at global scale. You’ll collaborate closely with both Engenious and client-side teams to deliver high-impact solutions.

You’ll help build systems that support students throughout their writing journey — from drafting and citations to AI transparency and plagiarism detection.

This role combines frontend development with practical application of modern AI technologies, and you’ll be expected to actively work with AI-powered features as part of your day-to-day development.

What You’ll Do

  • Contribute to end-to-end feature delivery on the frontend, ensuring high-quality user experiences in production.
  • Develop clean, intuitive user interfaces
  • Build and integrate AI-powered features into product workflows
  • Work with LLM-based systems and AI-driven services
  • Improve performance, reliability, and system architecture
  • Collaborate with product, design, and AI teams (both Engenious and client-side)
  • Contribute to technical decisions and engineering standards
  • Mentor engineers and support team growth

What You’ll Work On

  • AI-powered writing and productivity tools
  • Systems for AI transparency and authorship clarity
  • Citation and attribution workflows
  • Plagiarism and AI-usage detection
  • Integrations w...

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