Sr. Full-Stack Developer, AI Design-to-Dev
Appnovation · São Paulo, Brasil
Más empleos de tecnología en Brasil
El puesto es en São Paulo, Brasil.
El aviso no publica el sueldo.
Piden al menos 6 años de experiencia.
Lo publica Appnovation y está vigente desde el 16 de septiembre de 2026.
Descripción del puesto
About us
Appnovation is the AI Product Company. Headquartered in Vancouver, Canada, with teams around the world, Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to market.
Open source has been the foundation of Appnovation's work since 2007, and it remains the foundation underneath every AI product the company builds today. Appnovation teams work with organizations in highly regulated industries, including global leaders such as Pfizer, Google and AstraZeneca, to help them adopt AI they can govern and own.
About the Role
As a Full-Stack Developer / AI Design-to-Dev, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias toward frontend development, you specialize in the critical early stages—from concept through pre-totype to prototype—where design systems meet AI-augmented development. You're an expert at leveraging tools like v0.dev, bolt.new, and Lovable to rapidly generate components, then building out the complete stack to meet enterprise standards for accessibility, performance, responsive design, and scalability. You must be able to think fast, work outside the box, and have a passion for pushing the boundaries of what AI can achieve. You will join a team that thrives on experimentation, moving at a rapid pace from initial concepts through prototypes to production-ready applications.
Key Responsibilities
Rapidly transform concepts into interactive prototypes using v0.dev, bolt.new, Lovable, and similar AI design tools.
Build full-stack applications from prototype to production, with emphasis on frontend excellence and solid backend foundations.
Ensure all components align with existing design systems (design tokens, color palettes, typography, spacing) and brand guidelines.
Develop production-ready UI components using modern frameworks (React.js, Vue.js, Nuxt.js ) with best practices for accessibility, performance, and responsive design.
Design and implement RESTful APIs and backend services using platforms like Supabase to support frontend functionality.
Work with databases (SQL and NoSQL) to manage application data efficiently.
Implement authentication, caching strategies, and optimize application performance across the stack.
Collaborate with UX Designers, AI Builders, and Innovation Leads throughout the development lifecycle.
Utilize GitHub Spec-kit and/or Open Spec to streamline development workflows and maintain specification standards.
Leverage Figma and design system tooling to maintain component libraries and streamline design-dev handoff.
Document design decisions and technical implementation in Jira as part of the ticket-driven workflow.
Qualification
6+ years in full-stack development with strong frontend expertise in modern UI frameworks (React.js, Vue.js, Nuxt.js). Bonus points if you have experience working in a startup or rapid prototyping environment.
Proven experience with PHP and Python.
Desired experience with NodeJS and Express.
Proven hands-on experience with AI design tools such as v0.dev, bolt.new, Lovable, or similar platforms.
Experience with Spec driven development like GitHub Spec-kit and Open Spec.
Experience with workflow automation platforms such as N8N.
Strong track record of delivering production-grade full-stack applications.
Solid understanding of backend development, including API design (REST, GraphQL), server-side logic, and database management.
Experience with platforms like Supabase for rapid backend development and both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
Proficiency with authentication mechanisms (OAuth, JWT) and security best practices.
Understanding of caching strategies, performance optimization, and scalability patterns.
Deep understanding of design systems, design tokens, and component-driven development.
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