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About Cypien AI Cypien AI is an AI-native personalization and conversion platform built on a Two-Brain Architecture — an Analytics Brain that understands user behavior in real time and a Generative Brain that produces tailored content and experiences. We let brands deploy enterprise-grade personalization with a single integration script and a 15-minute setup, making capabilities that were once reserved for large tech teams accessible to companies of any size. We're pushing into generative commerce — AI-driven shopping experiences where product discovery, merchandising, recommendations, and storefront content are generated and personalized for each user in real time. It's one of the most exciting parts of our roadmap, and this role sits right at the center of building it. We're a product-driven team that ships fast, owns problems end to end, and cares deeply about developer experience, performance, and craft. The Role We're looking for a Senior Full Stack Developer who is genuinely balanced across the stack — equally comfortable building polished, performant interfaces and designing robust, scalable backend services. You'll work across our product surface: from the customer-facing client SDK and BackOffice UI to the APIs, data pipelines, and AI integration layer that power them. This is a high-ownership role on a distributed team. You'll help shape architecture decisions, mentor other engineers, and have direct impact on a product used in real-time, high-throughput environments. What You'll Do Design, build, and ship full stack features end to end — from API and data model through to UI. Develop and maintain our frontend applications (BackOffice UI, dashboards, client-facing components) with a strong focus on performance and UX. Build and scale backend services and APIs that handle high event volumes with low latency. Integrate and orchestrate our AI/ML layer (multi-model support, content generation, personalization) into product features. Build generative commerce experiences — dynamic product discovery, AI-generated merchandising, recommendations, and personalized storefront content. Contribute to architectural decisions around scalability, reliability, and microservices evolution. Improve observability, testing, and CI/CD practices across the codebase. Collaborate closely with product, data, and AI teams in an async-first, distributed setting. Mentor engineers through code review, pairing, and technical guidance. Our Tech Stack You don't need to know every item below, but you should be strong across a meaningful slice of both frontend and backend, and able to ramp quickly on the rest. Frontend React 19, TypeScript, Vite Tailwind CSS, Shadcn UI, Radix UI Redux Toolkit, TanStack Query, React Hook Form Backend Python 3.12 with FastAPI Node.js (LTS) GraphQL (Apollo Server) Celery, Redis, BullMQ for queues and background processing Rust for performance-critical analytics (nice to have) Data MySQL 8.0, PostgreSQL Redis AWS S3 AI / ML LangChain and our in-house abstraction layer (Cylink) Multi-model orchestration (OpenAI, Anthropic Claude, Google Gemini, Meta Llama, plus our own models) Guardrails and vision/tagging models Infrastructure Docker & Docker Compose GitHub Actions (CI/CD) AWS (CloudFront and related services) Prometheus & custom analytics for monitoring What We're Looking For (MUST) Direct experience at a customer engagement, personalization, or web experience optimization SaaS platform — i.e. a martech product company building real-time personalization, A/B testing, recommendation, messaging, or CRO products at scale. This background is essential; candidates without it will not be considered. 5+ years of professional software engineering experience, with demonstrable full stack ownership. Strong command of TypeScript and modern React, plus solid backend experience in Python and/or Node.js. Experience designing and building APIs (REST and/or GraphQL) and relational data models. Comfort working with queues, caching, and asynchronous processing at scale. A track record of shipping production software in high-throughput or real-time systems. Sound judgment on architecture, trade-offs, performance, and maintainability. Self-direction and strong written communication — you thrive in an async, remote-first team. Fluent professional English. Nice to Have Hands-on experience integrating LLMs or building AI-powered product features. Familiarity with Rust or other systems-level languages. Experience with microservices migrations and GraphQL Federation. Background in marketing technology, personalization, or analytics platforms. Experience with e-commerce, generative commerce, or recommendation/merchandising systems. Why Join Us Fully remote, global — work from wherever you do your best work. Real ownership — you'll influence product and architecture, not just close tickets. Modern stack — work with current tooling and a serious AI layer, on a product where engineering quality is the product. Impact — your work ships to real users in production, fast. How to Apply Send us your CV along with a short note on a full stack project you're proud of — what you built, the decisions you made, and your role in it. Links to GitHub, a portfolio, or relevant work are very welcome. 🚀