Full Stack Engineer
Core
Design and build real-time web interfaces and event-driven backend services for in-store shopping personalization using AI-driven workflows.
Role type
Full Stack Engineer (AI/ML integration)
Builds
Reactive web experiences and distributed backend services for retail personalization
Domain
Retail / Behavioral AI / Machine Learning
Deliverable
production ML models | product features
Required skills
Python/Java/Go, React/TypeScript, Postgres/Mongo/Redis, WebSockets/SSE, Kafka/Pulsar/RabbitMQ, AI development tools (Claude/Copilot/Cursor)
Preferred skills
Cloud providers (Azure/GCP/AWS), Kubernetes/Docker, real-time data processing, IoT/Edge architectures, retail POS/inventory/loyalty systems
Technologies
Python, Java, Go, React, TypeScript, Postgres, Mongo, Redis, Kafka, Pulsar, RabbitMQ, MQTT, Azure, GCP, AWS, Kubernetes, Docker
Responsibilities
Design and implement reactive, real-time web interfaces; Contribute to distributed, event-driven backend services; Model and manage structured and semi-structured data; Integrate AI-driven personalization and real-time insights; Contribute to overall system design including service boundaries and scaling
Seniority
Mid-Senior, hands-on IC