Full Stack Engineer

About algo1 We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. We are taking an almighty swing of the bat; it is difficult, full of risk, and exactly why we are here. The Role We’re looking for a Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. We believe that agentic, LLM-driven workflows are here to stay and are looking for engineers who have embraced this and will being a different perspective to our product development lifecycle. You'll help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. What You Will Own - Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation - Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources. - Model and manage structured and semi-structured data across storage layers - Integrate AI-driven personalisation and real-time insights into user flows - Contribute to overall system design: service boundaries, data ownership, scaling, and observability Essential Qualifications - Built modern full-stack applications (Python/Java/Go + React/ts) - Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object) - Experience with async and bi-directional communication protocols and patterns (eg. WebSockets, SSE) - Designed and implemented event-driven distributed systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) - Actively utilising and experimenting with AI development tools (eg. Claude, Copilot, Cursor) to speed up iteration, prototyping and overall development Nice to Have - Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) - Experience with container orchestration and service containerisation (Kubernetes, Docker) - Worked with real-time data collection and/or processing - Worked in an IoT or Edge-oriented architectures - Experience or knowledge in retail POS, inventory, or loyalty systems If you’re excited by the idea of shaping the future of retail and eager to make a real impact from day one, we’d love to hear from you.