About this role
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: Experience designing and operating event-driven architectures at scale (e.g., Kafka, Pulsar, or MQTT).
- Real-time Protocols: Mastery of async real-time, bi-directional communication protocols and patterns whether that's (WebSockets, gRPC, SSE, MQ) for low-latency data flows.
- The "AI-First" Mindset: You don't just use AI tools; you have optimised your entire workflow around and can teach others to do the same.
NICE TO HAVE
- Edge & IoT: Experience with "Cloud-to-Edge" orchestration and managing state across geographically distributed systems.
- Containerised Workloads: High comfort level with Kubernetes and container orchestration in a CI/CD-heavy environment.
- Domain Expertise: Prior exposure to the complexities of large scale retailTech, adTech, or marTech platforms.
If you’re excited by the idea of shaping the future of retail and eager to make a real impact from day one, we’d love to hear from you.
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: Experience designing and operating event-driven architectures at scale (e.g., Kafka, Pulsar, or MQTT).
- Real-time Protocols: Mastery of async real-time, bi-directional communication protocols and patterns whether that's (WebSockets, gRPC, SSE, MQ) for low-latency data flows.
- The "AI-First" Mindset: You don't just use AI tools; you have optimised your entire workflow around and can teach others to do the same.
NICE TO HAVE
- Edge & IoT: Experience with "Cloud-to-Edge" orchestration and managing state across geographically distributed systems.
- Containerised Workloads: High comfort level with Kubernetes and container orchestration in a CI/CD-heavy environment.
- Domain Expertise: Prior exposure to the complexities of large scale retailTech, adTech, or marTech platforms.
If you’re excited by the idea of shaping the future of retail and eager to make a real impact from day one, we’d love to hear from you.
Tech stack
LLMPythonJavaReactTypeScriptKafka
About ALGO1
ALGO1 is hiring for the staff full stack engineer role. NewJob aggregates active openings directly from ALGO1's applicant tracking system, so this listing is current.
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