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- Tasks: Design and build engaging web experiences and real-time backend services for in-store shopping.
- Company: Join a stealth-mode, VC-backed company revolutionising retail with behavioural AI solutions.
- Benefits: Enjoy flexible working options and the chance to work with cutting-edge technology.
- Why this job: Be part of a mission-driven team redefining shopping experiences with modern machine learning.
- Qualifications: Experience in full-stack development with Python/Java/Go and React is essential.
- Other info: Opportunity to work on innovative projects with a focus on AI-driven personalisation.
The predicted salary is between 28800 - 48000 £ per year.
About Us: 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.
Role: We’re looking for an experienced 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. 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.
Responsibilities:
- 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.
- Build and document APIs (OpenAPI/AsyncAPI) for mobile and web clients.
- 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).
- 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).
- Experience with container orchestration and service containerisation (Kubernetes, Docker).
- Built and deployed services on any major cloud providers' services (Azure, GCP, AWS).
Nice to Have:
- 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.
- Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping.
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, React, and event-driven systems like Kafka or RabbitMQ. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase any projects where you've integrated AI-driven personalisation or real-time data insights. This will not only highlight your technical skills but also align your experience with the company's mission of redefining in-store shopping through behavioural AI.
✨Tip Number 3
Prepare to discuss your approach to building scalable and flexible backend services. Be ready to share examples of how you've designed APIs and managed structured data, as this is crucial for the role and will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the retail tech space or join relevant online communities. Engaging with others in the field can provide insights into industry trends and may even lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace Full Stack Engineer (City of London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Full Stack Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Python, React, and various storage technologies.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your experience with full-stack applications, event-driven systems, and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for behavioural AI solutions and the retail industry. Explain how your background and skills make you a perfect fit for the role, and mention any relevant projects or experiences that demonstrate your capabilities.
Showcase Your Projects: If you have worked on relevant projects, consider including links to your GitHub or portfolio in your application. Highlight any full-stack applications you've built, especially those that involve real-time data flows or AI integration, to give the hiring team a clear picture of your expertise.
How to prepare for a job interview at algo1
✨Showcase Your Full Stack Experience
Be prepared to discuss your experience with full-stack applications, particularly in Python, Java, Go, and React. Highlight specific projects where you designed and implemented both the frontend and backend components, demonstrating your ability to work across the entire stack.
✨Demonstrate Your Understanding of Real-Time Systems
Since the role involves building real-time web interfaces and event-driven backend services, be ready to explain your experience with technologies like WebSockets, Kafka, or RabbitMQ. Share examples of how you've implemented these systems in past projects.
✨Discuss Your API Development Skills
The company values well-documented APIs, so come prepared to talk about your experience with OpenAPI or AsyncAPI. Provide examples of APIs you've built, focusing on how they integrate with mobile and web clients.
✨Highlight Your Cloud and Containerisation Knowledge
Familiarity with cloud providers and container orchestration is essential for this role. Be ready to discuss your experience with services like AWS, GCP, or Azure, as well as your use of Docker and Kubernetes in deploying applications.
