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Software Engineer Intern

Eden AI
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About Us:
Eden's venture-funded AI company based in New York City with the mission of creating the social interactive dimension of the internet. 

Founded by a dynamic team of Columbia undergrads, an MIT PhD, and a UCSD PhD, Eden AI's platform empowers users to leave a mark on the internet through our proprietary AI-powered technology. Users can create interest points, or "Marks," that form a web of interconnected nodes, linking people with shared interests from across the web. This new approach fosters deeper connections and conversations, transforming the way users engage with the internet by seamlessly connecting through these dynamic points of interest.

Eden's core products have received high reviews from Google Chrome Store and has received the coveted "Featured" badge. We are committed to enhancing how social data is used and valued across the digital landscape. With thousands of active users, we are funded by prominent venture funds from the U.S. and Singapore.


Responsibilities:

  • Collaborate with UI/UX designers and engineers to develop and enhance the Eden AI platform, including our webapp and browser extension.
  • Implement and maintain features that utilize our AI engine, ensuring a seamless integration that enhances user experience.
  • Test and optimize the platform in fast iterations to maintain high performance and user satisfaction.
  • Develop and manage a CI/CD pipeline for efficient deployment of the platform across various environments.

Qualifications:

  • Extensive experience in building, testing, and deploying web applications; and designing REST APIs.
  • Expertise in HTML, CSS, Next.js v14.x, TypeScript, and Node.js.
  • Proficiency with React.js, Tailwind CSS, Webpack for developing browser extensions.
  • Experience with serverless architecture, including Supabase and PostgreSQL.
  • Familiarity with Docker and deployment on cloud platforms such as Vercel.

Good to haves:

  • Experience with AI technologies, particularly integrating and optimizing AI functionalities within web applications.
  • Background in database optimization and caching techniques (e.g., Memcache, Redis) to enhance application scalability.