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- Tasks: Design and build innovative AI-driven solutions for the retail industry.
- Company: VC-backed stealth-mode company focused on behavioural AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a team redefining in-store shopping with cutting-edge technology.
- Qualifications: Experience in AI-native development and modern full-stack applications.
- Other info: Dynamic environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ 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 experienced Backend, Full Stack and Platform Engineers to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You will help build engaging & intuitive app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, real-time data flows and APIs on a platform designed for scale & flexibility.
Responsibilities:
- Encourage the adoption of AI-assisted product and software development workflows throughout the company.
- 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:
- AI-Native development: use AI tools such as CoPilot or Cursor as a collaborator and accelerator of development.
- Built modern full-stack applications with focus on backend (e.g. Python, Java, Go).
- Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object).
- Experience with async and bi-directional communication protocols and patterns (e.g. WebSockets, SSE).
- Designed and implemented event-driven distributed systems (e.g. 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:
- Experience in web or Android development (e.g. Javascript, Typescript, React.js, Kotlin).
- 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.
Software Engineer in England employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in England
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your experience with AI, backend systems, and real-time data flows. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding our mission. Be ready to discuss how your experience aligns with building engaging app experiences and event-driven services.
✨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, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Software Engineer in England
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let us see your enthusiasm for AI and how it can transform the retail experience. Share any relevant projects or experiences that highlight your skills in AI-assisted development.
Tailor Your Experience: Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your backend development expertise and any work with event-driven systems to catch our eye!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. A well-structured application goes a long way!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
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 skills with Python, Java, or Go, and be ready to discuss your experience with databases like Postgres or Mongo. Being able to talk confidently about your past projects will show that you’re a great fit for their tech environment.
✨Showcase Your AI Knowledge
Since the company focuses on AI-assisted solutions, be prepared to discuss how you've integrated AI tools into your development process. Mention any experience with tools like CoPilot or Cursor, and share examples of how these have accelerated your work. This will demonstrate your alignment with their mission.
✨Understand Event-Driven Architecture
Familiarise yourself with event-driven systems and protocols like WebSockets or Kafka. Be ready to explain how you’ve designed or implemented such systems in the past. This knowledge is crucial for the role, and showing that you can contribute to their backend services will set you apart.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to integrating AI into retail experiences. This not only shows your interest in the role but also gives you a chance to gauge if the company’s vision aligns with your career goals. It’s a win-win!
