Full Stack Software Engineer (Contract)

Posted 2 Days Ago
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London, Greater London, England, GBR
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Retail • Software
The Role
Build reactive, real-time web interfaces and event-driven backend services integrating remote devices, storage layers, and AI-driven personalization. Design service boundaries, data models, scaling, and observability for a retail-focused platform.
Summary Generated by Built In

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.

Skills Required

  • Built modern full-stack applications using Python, Java, or Go together with React and TypeScript
  • Experience with storage technologies such as PostgreSQL, MongoDB, Redis, and object storage
  • Experience with async and bi-directional communication protocols (WebSockets, Server-Sent Events)
  • Designed and implemented event-driven distributed systems (Kafka, Pulsar, RabbitMQ, MQTT, or similar)
  • Actively using AI development tools (Claude, GitHub Copilot, Cursor) to accelerate development
  • Built and deployed services on major cloud providers (Azure, GCP, AWS)
  • Experience with container orchestration and containerization (Kubernetes, Docker)
  • Experience with real-time data collection and/or processing
  • Experience with IoT or Edge-oriented architectures
  • Knowledge or experience with retail POS, inventory, or loyalty systems
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The Company

What We Do

We’re a VC-backed stealth-mode company building behavioural AI solutions for the retail industry, focused on hyper-personalisation. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.

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