Full-stack Engineer

Summary

Join our team as a Full-Stack Engineer to lead the development of prototypes and the first MVP for IrisGo.ai, an AI butler for the AI PC era. You will bring product ideas to life using the latest AI tools and frameworks, working closely with founders and engineers. This high-impact role requires rapid development, embracing ambiguity, and building from scratch in a fast-paced environment. You will design and develop full-stack applications, apply Generative AI tools, use AI-assisted development tools, deploy applications to the cloud, and integrate external APIs. You'll incorporate user feedback and maintain awareness of emerging GenAI technologies. This is an ideal opportunity for someone who thrives in fast-paced environments and enjoys creating full-stack AI-powered applications.

Requirements

• 3+ years of full-stack development experience, including AI-powered products or prototypes
• Demonstrated experience building applications that leverage LLMs and GenAI components
• Strong knowledge of GenAI building blocks: Prompt engineering, Retrieval-Augmented Generation (RAG), Vector databases (e.g., Pinecone, Weaviate), Agent frameworks (e.g., LangGraph, CrewAI), and Evals, guardrails, and prompt chaining tools
• Front-end experience with JavaScript/TypeScript, HTML, CSS, and modern frameworks like React or Vue
• Backend expertise with Python and frameworks like FastAPI or Flask
• Comfortable with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
• Proficiency with Git and modern dev workflows
• Strong understanding of cloud infrastructure and deployment tools
• Hands-on experience using AI development tools such as Cursor, Copilot, or Windsurf
• Excellent communication and collaboration skills across technical and non-technical teams
• A bias toward action, rapid learning, and a pragmatic, product-focused engineering mindset

Responsibilities

• Rapidly design and develop full-stack applications as functional prototypes and early MVPs
• Work across the stack to ship GenAI-powered user experiences with speed and clarity
• Apply Generative AI tools (e.g., RAG, vectorDBs, agentic frameworks, prompt workflows) to real-world product use cases
• Use AI-assisted development tools (e.g., Cursor, Copilot, Windsurf) to accelerate coding and prototyping
• Deploy applications to the cloud (AWS, GCP, Supabase, etc.) and manage dev environments
• Build and integrate external APIs, LLM platforms, and third-party services into prototypes
• Incorporate user feedback and data to improve usability and functionality quickly
• Maintain a high level of awareness around emerging GenAI technologies and product patterns
• Balance building "scrappy" experimental code with laying a foundation for scale when the time is right

Preferred Qualifications

• Experience launching MVPs in startup or innovation-focused environments
• Familiarity with rapid prototyping tools or no-code/low-code environments
• Interest in early user testing and shaping product direction
• Open-source contributions in GenAI or tooling
• Experience with serverless architectures or edge deployment