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.