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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 cutting-edge team redefining in-store shopping experiences with AI technology.
- Qualifications: Experience in backend development and familiarity with AI tools.
- Other info: Dynamic startup environment with potential for significant career advancement.
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 Slough employer: algo1
Contact Detail:
algo1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer in Slough
✨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 involving AI, backend systems, or real-time data processing. This will give us a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design principles. Practice common algorithms and data structures, and be ready to discuss your past experiences in detail.
✨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 team.
We think you need these skills to ace Software Engineer in Slough
Some tips for your application 🫡
Show Your Passion for AI: When 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 qualifications we’re looking for. Highlight your experience with backend technologies and event-driven systems, and don’t forget to mention any cloud services you’ve worked with!
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
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 knowledge of Python, Java, Go, and any storage technologies like Postgres or Mongo. Being able to discuss your experience with these tools confidently will show that you're a great fit for the role.
✨Showcase Your AI Skills
Since the company focuses on AI-assisted development, be prepared to discuss how you've used AI tools like CoPilot or Cursor in your projects. Share specific examples of how these tools have improved your workflow or the outcomes of your projects.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle some technical challenges during the interview. Think about how you would design an event-driven system or manage data across different storage layers. Practising common coding problems can help you articulate your thought process clearly.
✨Understand the Retail Context
Familiarise yourself with the retail industry and how AI can enhance the shopping experience. Be ready to discuss how your skills can contribute to building engaging app experiences and real-time backend services that redefine in-store shopping.
