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Full-Stack Engineer (Generative AI Prototyping & MVP) - Remote

Posted 2 weeks ago
Software Development
Full Time
USA

Overview

We are building IrisGo, an AI butler for the AI PC era, focused on automating digital workflows and enhancing productivity through innovative technology.

In Short

  • Join a small team focused on solving complex problems in AI and productivity.
  • Lead the development of prototypes and MVP for IrisGo.ai.
  • Work closely with founders and engineers to turn ideas into applications.
  • Rapidly design and develop full-stack applications.
  • Utilize Generative AI tools for real-world applications.
  • Deploy applications to cloud environments and manage dev environments.
  • Integrate external APIs and third-party services into prototypes.
  • Incorporate user feedback for continuous improvement.
  • Stay updated on emerging GenAI technologies.
  • Balance experimental code with scalable solutions.

Requirements

  • 3+ years of full-stack development experience.
  • Experience with AI-powered products or prototypes.
  • Strong knowledge of GenAI building blocks.
  • Front-end experience with modern frameworks.
  • Backend expertise with Python frameworks.
  • Comfort with SQL and NoSQL databases.
  • Proficiency with Git and modern workflows.
  • Understanding of cloud infrastructure.
  • Experience with AI development tools.
  • Excellent communication skills.

Benefits

  • Opportunity to work on innovative AI projects.
  • Collaborative and fast-paced work environment.
  • Potential for significant impact on product direction.
  • Hands-on experience with cutting-edge technologies.
  • Flexible work arrangements.

career

career

AI Fund, through its platform DeepLearning.AI, is an education technology company dedicated to empowering the global workforce in the field of artificial intelligence. With a mission to grow and connect the global AI community, the company focuses on providing world-class education, hands-on training, and fostering a collaborative environment. AI Fund is committed to addressing the increasing demand for AI engineers by creating high-quality educational content and experiences, while maintaining a culture of excellence, transparency, and mutual respect among its diverse team.

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