Frontend Engineer — San Francisco (Hybrid)

Engenious•San Francisco, CA

5d•Hybrid

About The Position

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. 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.

Requirements

4+ years of experience in frontend development
Proficiency with modern web technologies, including React.js, Next.js, Vite, and Nx )
Proficiency with Typescript is a must
Strong fundamentals in algorithms and system design
Experience building and scaling production systems
Experience debugging complex systems
Strong product mindset and attention to user experience
Must be legally authorized to work in the United States at the time of hire; we are unable to provide visa sponsorship for this role

Nice To Haves

Backend development experience with Java would be a big plus

Responsibilities

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