Taro Logo

Full-stack Engineer (Generative AI Prototyping & MVP)

AI Fund builds IrisGo, an AI butler for the AI PC era that understands how you work, observes context, and automates tasks.
Backend
Mid-Level Software Engineer
Remote
3+ years of experience
AI

Description For Full-stack Engineer (Generative AI Prototyping & MVP)

AI Fund is revolutionizing digital workflow with IrisGo, an AI butler designed for the AI PC era. Based in California and Taipei, we're addressing the challenges of fragmented tools and repetitive tasks that consume valuable time and focus. Our mission is to create an ambient, intuitive, and immersive productivity future.

We're seeking a Full-Stack Engineer with strong Generative AI expertise to spearhead prototype and MVP development for IrisGo.ai. This role combines traditional full-stack development with cutting-edge AI implementation, requiring someone who can rapidly transform concepts into functional applications.

The ideal candidate will work directly with founders and product teams, bringing technical expertise in both front-end (JavaScript/TypeScript, React) and back-end (Python, FastAPI) development. They'll need to be well-versed in GenAI technologies, including RAG, vector databases, and agent frameworks, while maintaining the ability to deploy and scale applications in cloud environments.

This position offers the unique opportunity to shape the future of human-computer interaction, working with a team deeply rooted in full-stack engineering, machine learning, and product design. The role demands someone who thrives in fast-paced environments, embraces ambiguity, and can balance quick prototyping with scalable architecture.

If you're passionate about using AI to transform how people work and want to be at the forefront of productivity innovation, this role offers the perfect blend of technical challenge and product impact.

Last updated 14 days ago

Responsibilities For Full-stack Engineer (Generative AI Prototyping & MVP)

  • Rapidly design and develop full-stack applications as functional prototypes and early MVPs
  • Work across the stack to ship GenAI-powered user experiences
  • Apply Generative AI tools to real-world product use cases
  • Use AI-assisted development tools to accelerate coding and prototyping
  • Deploy applications to the cloud and manage dev environments
  • Build and integrate external APIs, LLM platforms, and third-party services
  • Incorporate user feedback and data to improve usability and functionality
  • Maintain awareness of emerging GenAI technologies and product patterns
  • Balance building experimental code with laying foundation for scale

Requirements For Full-stack Engineer (Generative AI Prototyping & MVP)

JavaScript
TypeScript
Python
React
PostgreSQL
MongoDB
  • 3+ years of full-stack development experience, including AI-powered products or prototypes
  • Experience building applications with LLMs and GenAI components
  • Strong knowledge of GenAI building blocks: Prompt engineering, RAG, Vector databases, Agent frameworks
  • Front-end experience with JavaScript/TypeScript, HTML, CSS, and modern frameworks
  • Backend expertise with Python and frameworks like FastAPI or Flask
  • Comfortable with SQL and NoSQL databases
  • Proficiency with Git and modern dev workflows
  • Strong understanding of cloud infrastructure and deployment tools
  • Hands-on experience using AI development tools
  • Excellent communication and collaboration skills
  • Bias toward action, rapid learning, and pragmatic engineering mindset

Interested in this job?

Jobs Related To AI Fund Full-stack Engineer (Generative AI Prototyping & MVP)