Full Stack Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (57.0%).
Occupation TypeProgrammers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with algo1. For the most up-to-date job details, please visit the official website by clicking "Apply Now."
Description
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
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
- Built modern full-stack applications (Python/Java/Go + React/ts)
- Worked with a variety of storage technologies (eg. Postgres, Mongo, Redis, Object)
- 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