Senior AI Full-Stack Developer - English Speaking

Description

Summary: Seeking a Senior AI Full-Stack Developer to architect, build, and scale advanced AI-powered applications across a multi-platform media and technology ecosystem. Highlights: 1. High-ownership role combining full-stack expertise with production AI systems 2. Design and implement intelligent architectures leveraging LLMs and RAG 3. End-to-end feature ownership from frontend to deployment This opportunity is open to professionals based in Brazil with fluent English. **About TheFutureSociety** TheFutureSociety is a founder\-led, multi\-platform media and technology company operating at the intersection of content, community, and AI. Our ecosystem includes: * **GreatAwakener.com** – A live, membership\-based, subscription livestream platform serving a growing global member base * **MAX: Your Virtual Oracle Gateway™** – An AI\-powered personalized forecasting system currently in beta * **The Tarot Ship** – A YouTube channel with 272K\+ subscribers across 90\+ countries We operate a **membership livestream\-based platform** while simultaneously building AI\-native products that integrate content, personalization, and predictive intelligence into scalable digital experiences. **The Role** We are seeking a **Senior AI Full\-Stack Developer** to architect, build, and scale advanced AI\-powered applications across our ecosystem, including our livestream membership platform. This is a high\-ownership position for a senior engineer who combines deep full\-stack expertise with hands\-on experience in production AI systems. You will design and implement intelligent architectures leveraging LLMs, Retrieval\-Augmented Generation (RAG), and modern web technologies. You will own features end\-to\-end — from frontend experience and user interaction to backend logic, AI orchestration, payment systems, and deployment infrastructure. **Key Responsibilities** * Architect and develop AI\-powered web applications using **Next.js and TypeScript** * Design and implement LLM\-based features using OpenAI APIs * Build and optimize **RAG** pipelines * Implement embedding workflows and vector\-based retrieval systems * Develop scalable backend services using Supabase * Integrate subscription and billing systems with Stripe * Contribute to features supporting a livestream\-based membership platform * Deploy and manage applications on Vercel * Ensure performance, scalability, security, and maintainability * Collaborate on AI product strategy and long\-term technical architecture **Core Tech Stack** * **Frontend:** Next.js, TypeScript * **AI / LLMs:** OpenAI APIs, prompt engineering, RAG architectures * **Database / Backend:** Supabase * **Payments:** Stripe * **Infrastructure / Deployment:** Vercel * **Bonus:** Vector databases, embeddings optimization, AI agent frameworks **Required Experience** * **10\+ years of full\-stack development experience** * **5\+ years working with AI systems** (LLMs, NLP, ML pipelines, or similar) * Proven experience building and deploying production\-grade LLM applications * Strong experience designing and implementing RAG systems * Deep proficiency with Python and TypeScript * Experience integrating Stripe subscription models * Experience deploying scalable applications via Vercel * Strong system architecture and technical leadership skills * Ability to work independently in a remote environment * Fluent English communication **Strong Plus** * Experience building AI agents or autonomous workflows * Experience with vector databases and embedding optimization * Experience in media, membership platforms, livestream products, or AI\-native consumer applications * Startup or founder\-led team experience **Compensation** **R$15\.000 – R$20\.000 per month**, depending on experience. Remote position. **How to Apply** To apply, please submit: * Your resume * A brief cover letter outlining your experience with AI systems and full\-stack architecture * 2–3 examples of AI\-powered applications you have built (live links and/or GitHub repositories) * A short description of your experience implementing RAG systems or production LLM integrations Applications must be submitted in English. Job Type: Full\-time Pay: R$15,000\.00 \- R$20,000\.00 per month Work Location: Remote