At a Glance
- Tasks: Design and develop innovative behavioural AI solutions for the retail industry.
- Company: VC-backed stealth-mode company with a fresh vision in tech.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Other info: Be part of a dynamic team shaping the future of retail.
- Why this job: Join us to revolutionise the in-store shopping experience with cutting-edge technology.
- Qualifications: Experience in full stack development and a passion for collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from algo1
Data & AI | Technology & Engineering Leader
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 provider's services (Azure, GCP, AWS)
- Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping
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
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at algo1 by 2x
Full Stack Engineer employer: algo1
At Algo1, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture, perfect for those passionate about behavioural AI in the retail sector. Our commitment to employee growth is evident through our focus on cutting-edge technology and best practices, providing ample opportunities for professional development while working alongside talented teams in a vibrant environment. Join us in shaping the future of retail with a clean slate approach, where your contributions will have a meaningful impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your full stack capabilities. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in behavioural AI. Practice common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to revolutionise the retail experience.
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for behavioural AI and the retail industry shine through. We want to see how your interests align with our mission and how you can contribute to our clean slate approach.
Tailor Your CV:Make sure your CV highlights relevant experience that matches the Full Stack Engineer role. We love seeing specific projects or technologies you've worked with that relate to product design, mobile, or machine learning.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for our team. Share your thoughts on modern machine learning and how you envision enhancing the in-store shopping experience with your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our journey!
How to prepare for a job interview at algo1
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your knowledge of both front-end and back-end frameworks, as well as any specific languages or tools they use. Being able to discuss your experience with these technologies will show that you’re a great fit for their clean slate approach.
✨Understand Behavioural AI
Since the company focuses on behavioural AI solutions, take some time to research this area. Familiarise yourself with how machine learning can enhance the retail experience. Being able to discuss relevant projects or ideas during the interview will demonstrate your genuine interest in their mission.
✨Collaborative Mindset
This role involves working closely with various teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you’ve successfully worked with product, design, or machine learning teams in the past. Highlighting your teamwork skills will show that you can thrive in their dynamic setting.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the company’s goals and challenges. Inquire about their vision for integrating machine learning into the shopping experience or how they measure success in their projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career aspirations.
