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.
About Us
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.
Why We’re Doing ThisAt 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.
Where We Are Now
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.
Team StructureOur 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.
What You’ll Be Working OnOwn features end-to-end — from task breakdown to production deploy
Design and build server-side logic (REST and RPC APIs, services, integrations)
Implement user interfaces — clean and fast, without over-engineering
Set up CI/CD, containerisation, and feature-level infrastructure (DevOps basics)
Participate in code reviews, technical discussions, and task decomposition
Backend
3–6 years of commercial experience in backend or fullstack development
Proficiency in Node.js (Express / NestJS) or .NET
Experience designing REST APIs and understanding of RPC approaches
Solid work with relational databases (PostgreSQL / MySQL / MSSQL)
Understanding of core patterns: queues, caching, async
Frontend
Confident React — enough to build a working UI independently
TypeScript at a level sufficient to work with typed APIs
Pixel-perfect is not required; speed and solid UX matter
DevOps / infrastructure
Docker and Docker Compose — confident everyday use
Basic CI/CD with GitLab CI
Experience deploying to cloud platforms (AWS, GCP or similar)
AI engineering
Active use of AI agents in development: Cursor, Claude, Codex or equivalents
Familiarity with agentic workflows: plan mode, REPL-style iteration, and similar approaches
Prompt engineering: ability to frame tasks clearly and load the context with relevant artefacts (code, schemas, requirements)
Output verification and review — understands where models fail and why
Degradation control: using tests and other mechanisms to maintain quality under agentic changes
Strong test coverage: unit, integration, e2e — writes tests as a real quality gate, not a
formality
Cross-team development experience: coordinating changes with adjacent teams,
working with shared services or platform
Experience in startups or small teams with broad ownership
Proactivity – We love team members who take initiative and provide feedback
Critical thinking – We value problem-solvers who think beyond just writing code
Adaptability – Our industry is evolving fast, and we need people who thrive in change
Salary in USD (B2B contract with the US company)
100% remote – We’re a remote-first company, no offices needed!
Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
20 paid vacation days + 12 holidays per year
3 sick leave days
Medical insurance after probation
Equipment reimbursement (laptops, monitors, etc.)
Intro Call with Sweed People Team (30 min) — experience, motivation & fit
Technical Interview (90 min) — AI Coding Session
System Design (90 min)
Final interview (60 min)
Skills Required
- 3-6 years of commercial experience in backend or fullstack development
- Proficiency in Node.js (Express / NestJS) or .NET
- Experience designing REST APIs
- Solid work with relational databases (PostgreSQL / MySQL / MSSQL)
- Confident in React for UI development
- Basic CI/CD with GitLab CI
- Experience deploying to cloud platforms (AWS, GCP or similar)
- Active use of AI agents in development
- Prompt engineering skills
What We Do
Sweed is more than just your average point-of-sale system. We are a comprehensive retail cannabis solution delivering powerful point-of-sale functionality and features like e-commerce, delivery, analytics, marketing and loyalty, inventory management, and so much more. Our all-in-one model eliminates the extra workload of managing multiple retail programs daily allowing retailers to get back to what matters most






