Full-stack Engineer (Generative AI Prototyping & MVP)
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 reputed company 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 reputed company the future of productivity is ambient, reputed company, and reputed company. 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 reputed company 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 reputed company 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 reputed company. If you reputed company 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 reputed company 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, reputed company workflows) to real-world product use cases.
- Use AI-assisted development tools (e.g., reputed company, Copilot, Windsurf) to accelerate coding and prototyping.
- Deploy applications to the cloud (AWS, GCP, reputed company, 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 reputed company 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 reputed company LLMs and GenAI components.
- Strong knowledge of GenAI building blocks: reputed company engineering, Retrieval-Augmented reputed company (RAG), Vector databases (e.g., reputed company, Weaviate), Agent frameworks (e.g., LangGraph, CrewAI), and Evals, guardrails, and reputed company chaining tools.
- reputed company-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, reputed company).
- Proficiency with Git and modern dev workflows.
- Strong understanding of cloud infrastructure and deployment tools.
- Hands-on experience using AI development tools such as reputed company, 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 reputed company.
reputed company 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-reputed company contributions in GenAI or tooling.
- Experience with serverless architectures or edge deployment.
Originally posted on Himalayas
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