ironquill.tech/board

$ cat jobs/staff-full-stack-engineer-algo1-1e0c0280945d.json

Staff Full Stack Engineer

Algo1·UK·London·senior
pythontypescriptreactjavamlllm
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STAFF FULL STACK ENGINEER 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 As a Staff Full Stack Engineer, you’ll work at the intersection of Product, ML, and Engineering to design and build the retail stack of the future; imagine AI driven content delivery on autonomous edge devices on an IoT network, combined with the backend infrastructure of a cutting edge adTech platform. This isn't a staff role where you "work across the stack"— you'll be an integral part of defining the stack. WHAT YOU WILL OWN - System Architecture: Design and lead the implementation of distributed, event-driven services that bridge the gap between cloud intelligence and edge devices. - Technical Strategy: Set the standards for service boundaries, data ownership, and system observability to ensure we scale seamlessly from 1 to 1,000+ locations. - AI Integration: Architect the orchestration layer for LLM-driven agentic workflows, moving beyond simple API calls to deeply integrated, autonomous system behaviors. - Mentorship & Culture: Continuously raise the bar for engineering excellence. Conduct deep design reviews, mentor mid-level engineers, and champion a culture of "building with AI" and the use of autonomous development agents to accelerate our velocity. ESSENTIAL QUALIFICATIONS - Track Record: 8+ years of experience, with recent years spent in a Staff, Lead, or Principal capacity at a high-growth startup or a sophisticated scale-up. - Full-Stack Mastery: Expert-level proficiency in modern backends (Python, Go, or Java) and high-performance frontends (React/TypeScript). - Distributed Systems: Experienc

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