Top Tech Jobs & Startup Jobs in London

Build and operate algo1’s platform infrastructure, including authentication and authorization, automated release engineering, cloud environments, APIs, webhooks, event-driven systems, and agentic development tooling. Design scalable distributed backend services, manage databases and real-time data streams, and support reliable customer-facing products. The role is office-based in London and involves close collaboration with platform, product, and engineering teams.

Design and build production agentic AI systems for shopper experiences, platform automation, and internal efficiency. Own agentic platform architecture, LLM evaluation strategies, context management, deployment, scaling, monitoring, latency, quality, explainability, cost, and token usage. Establish company-wide agent development practices and enable technical and non-technical teams to use AI tools safely. Collaborate with product, design, mobile, and machine-learning teams in an office-based London startup environment.

Build and own frontend-focused, full-stack web applications for B2B retail customers. Responsibilities include creating responsive real-time interfaces, simplifying complex AI capabilities, contributing to APIs and system design, and managing testing, observability, deployment, and post-release investigation. The role requires strong TypeScript and React expertise, real-time communication experience, cloud deployment skills, product judgment, rapid delivery, and experience using AI coding tools.

Design and implement real-time web interfaces for retail applications, advocate for user needs, and contribute to system design.

The AI Engineer will develop and implement agentic AI solutions, drive best practices in engineering, and manage complex platform performance and monitoring.

Build and maintain the platform powering an AI-native retail product: secure authentication/authorization, cloud-deployed distributed services, automated releases, API/webhook quality, real-time data processing, agentic automation, and tooling to enable product teams to prototype and ship quickly.

Build and ship native Kotlin Android features end-to-end for a controlled in-store device, integrate on-device AI outputs into the UX, improve performance and reliability, establish architecture and engineering standards, and monitor production performance.

Lead full‑stack product delivery for B2B features with backend emphasis: design APIs, own architecture, ship production systems, ensure testing/observability, and partner with product and platform teams to support demos, trials, and customer onboarding.

Design end-to-end shopper experiences for an in-store AI product: define interfaces, interactions, prototypes, motion, and the design system; validate designs with real shoppers and iterate rapidly to ship polished, accessible experiences.