We're SweedPos , a product-driven startup building an all-in-one cannabis retail platform. We’re on the lookout for an AI Product Engineer to join us remotely and help us scale and optimize our platform.
At Sweed , we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools. We believe in simplicity, efficiency, and innovation . That’s why we build for scalability and performance , making life easier for cannabis retailers while driving real business growth.
At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives. The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.
We’ve been on the market for 7 years, continuously growing and refining our product. Our focus is on earning customer trust , which means constantly improving our delivery processes and rolling out new features . At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.
Our total team size is over 200 people : The development team is distributed globally and organized into cross-functional product teams. These teams typically consist of 8–12 members, including front-end and back-end developers, QA specialists, and analysts. Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction. Meanwhile, our CEO, account managers, and customer success team are based in the USA , working closely with us to align product development with business and user needs.
Backend: Node.js / .NET, PostgreSQL, Redis Frontend: React, TypeScript CI/CD: GitLab CI, Docker AI tools: Cursor, Claude, Codex
An AI Product Engineer is a full-cycle engineer who independently ships features end-to-end: scoping, backend, frontend, deploy. What sets this role apart from a traditional fullstack developer is the ability to use AI tools as a core part of the workflow — Cursor, Claude, Codex and similar assistants help move fast and maintain quality across the entire stack. We're not looking for a deep specialist in any single area. This is not a deep ML, research, or heavy infrastructure role : you don’t need to train models, design custom neural network architectures, or own complex Kubernetes setups. We’re looking for someone with range — an engineer who can use AI to close gaps, move across backend, frontend, and basic infrastructure, make pragmatic technical decisions, and deliver working product features consistently.
Backend
Frontend
DevOps / infrastructure
AI engineering