Full-Stack Engineer (Generative AI Prototyping & MVP)
Job Summary
Job Description
We are seeking a Full-Stack Engineer to lead the rapid development of prototypes and the first Minimum Viable Product (MVP) for IrisGo.ai, an AI butler for the AI PC era. This role involves building AI-powered applications from scratch, focusing on generative AI technologies. You will work closely with founders, product thinkers, and engineers to translate abstract concepts into functional applications. Key responsibilities include designing and developing full-stack applications, shipping GenAI-powered user experiences, applying tools like RAG and vector databases, utilizing AI-assisted development tools, deploying applications to the cloud, and integrating external APIs and LLM platforms. The role requires incorporating user feedback, staying updated on GenAI technologies, and balancing experimental code with scalable foundations.
Must have:
- 3+ years full-stack experience, including AI products
- Experience building apps leveraging LLMs/GenAI
- Strong GenAI building blocks knowledge
- Front-end: JavaScript/TypeScript, React/Vue
- Backend: Python, FastAPI/Flask
- SQL/NoSQL databases
- Proficiency with Git and dev workflows
- Cloud infrastructure understanding
- Experience with AI dev tools
- Excellent communication skills
- Bias for action, learning, and product focus
Good to have:
- Launching MVPs in startups
- Familiarity with prototyping tools
- Interest in user testing
- Open-source GenAI contributions
- Serverless or edge deployment experience
20 skills required
Job Details
Who we are:
AI workflow is broken. Digital work is buried under copy-paste routines, fragmented tools, and repetitive tasks that drain our time and focus.
We're building IrisGo — your AI butler for the AI PC era. It understands how you work, observes your context, and automates what you shouldn’t have to do. We’re a small team of engineers and builders driven to solve hard problems — from browser automation to computer use, from local LLMs to full workflow orchestration. We believe the future of productivity is ambient, intuitive, and immersive. Our goal: reclaim your time and focus, one automated task at a time.
Based in California and Taipei, we bring deep roots in full-stack engineering, machine learning, and product design. If you want to build the future of human-computer interaction, we’re hiring.
About the Role:
We’re looking for a Full-Stack Engineer with hands-on experience in Generative AI to lead the rapid development of prototypes and the first MVP for IrisGo.ai. In this role, you won’t just write code—you’ll bring product ideas to life using the latest AI tools and frameworks. You’ll work closely with visionary founders, product thinkers, and engineers to quickly turn abstract concepts into functioning applications that can be tested, validated, and scaled.
This is a high-impact role for someone who moves fast, embraces ambiguity, and loves building from zero. If you thrive in fast-paced environments and enjoy creating full-stack AI-powered applications from scratch—this is the job for you.
What You’ll Do:
- 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.
What You Must Bring:
- 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.
Nice to Haves:
- 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.
#LI-DNI
#LI-Remote
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