Architect and build high-performance, production-grade UI in React, Redux (or similar state management), and TypeScript
Use AI across the delivery lifecycle, not just code generation, and set the guardrails the team works inside: how generated code gets reviewed, how provenance and licensing are checked, and what customer data may enter a prompt
Design and build front-end interfaces that integrate AI-powered features, such as chat, content generation, and smart recommendations
Own the performance, scalability, and reliability of high-traffic, customer-facing applications, from bundle size to render performance
Partner closely with product, design, and backend engineers to take features from concept to production quickly, without sacrificing quality
Set and enforce frontend engineering standards: component reuse, design-system consistency, testing coverage, and code review rigor across both squads
Mentor mid-level and junior engineers on architecture decisions, debugging technique, and modern React patterns
Drive continuous delivery practices, shipping iteratively against real user feedback instead of large, infrequent releases
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Benefits
Work-life balance.Meaningful work, balanced by a culture that respects your time
We care about you.We offer aMeal Voucher or Food VoucherworthR$44.55 per working day. Comprehensivehealth and dental insurance, with no employee co-pay
Well-being programincludingGympass, online meditation, and telemedicine
Do you have a dog, cat, rabbit, hamster, goat, turtle, or even a mini dragon? We offer access to apet health insurance partnership
Educational platform: pursue undergraduate and graduate degrees, language courses, and much more through100+ educational institutionsat highly affordable rates
Life insurancecoverage
Free website hosting
Requirements
5+ years building and shipping modern, production-grade web applications at scale
Deep expertise in React, Redux/modern state management, and TypeScript, with strong JavaScript (ES6+), HTML5, and CSS3 fundamentals
AI-augmented delivery: you use AI across the delivery lifecycle, not just code generation, and can say which models suit which problems and where you don’t use them. You review AI-generated code knowing its failure modes, and you have set the guardrails others work inside – review expectations for generated code, provenance and licensing checks, and clear boundaries for what customer data enters a prompt and what a security or compliance review will ask for
Experience integrating REST APIs and working within microservices-based architectures
Comfortable with testing frameworks (Jest/Cypress) and building or maintaining component libraries and design systems
Track record of owning technical outcomes end-to-end in ambiguous, fast-moving environments where speed and craft both matter
Experience operating in a high-scale SaaS or consumer platform environment
Bonus: Next.js experience and prior work integrating LLM-powered or AI-driven product features