Full-Stack Engineer, Java, React

📋 Description

• Development of microservices using Java / Spring Boot for functionalities such as account management, catalog management, cellar tracking, NFC smart-cork authentication, user engagement, gamification challenges, geotagging, and more.

• Implementation of a MongoDB-backed, message-driven architecture utilizing SNS/SQS for asynchronous communication, deployed on Kubernetes.

• Creation of a Consumer Mobile App (React + Ionic + Capacitor) that serves as a cross-platform solution for iOS/Android, featuring NFC scanning, AI-driven bottle storytelling, a digital cellar, Wine Passport, social tasting experiences, and direct-to-consumer commerce.

• Development of a Producer Backoffice (React + MUI + Vite) for managing campaigns, analytics dashboards, bottle logistics, content editing (using TipTap), data import/export, and delivering AI-driven insights for winery clients.

• Incorporation of AI-Powered Features including RAG pipelines for wine knowledge retrieval, an AI food pairing engine, personalized wine recommendations, intelligent wine profiling, an AI sommelier assistant, and an on-scan AI assistant that tailors every bottle interaction to the individual user.

• You will engage with large language models (LLMs), develop and refine retrieval-augmented generation systems, and assist in designing agentic workflows that enhance the intelligence of every tap interaction.

⛳️ Requirements

• Over 3 years of experience in building production systems using Java / Spring Boot and React / TypeScript.

• Strong background in working with MongoDB or similar document databases.

• Proficient in RESTful API design and microservice architectures.

• Familiarity with message-driven architectures (such as SNS/SQS, Kafka, RabbitMQ, or similar technologies).

• Experience in developing or maintaining mobile applications (React Native, Ionic/Capacitor, or native platforms).

• Knowledge of AWS cloud services, including S3, CloudFront, Route 53, SNS, SQS, and related services.

• Experience with Infrastructure as Code, preferably using Terraform.

• Understanding of CI/CD pipelines and containerized deployments (Docker, Kubernetes).

• Daily engagement with AI tools for development — you actively use LLMs, copilots, and AI-assisted workflows as integral parts of your coding, reviewing, and deployment processes.

• Comprehension of AI/LLM fundamentals — you are knowledgeable about the workings of large language models, the concept of RAG, and the integration of AI features into tangible products.

• Familiarity with AI concepts and protocols such as RAG, MCP (Model Context Protocol), AI Agents, and emerging standards like A2A (Agent-to-Agent), A2UI, AG-UI.

• A strong sense of product ownership — you deliver features, not just code.

• Proficient in English, both written and spoken.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Opportunities for professional development and training.

• A collaborative and innovative work environment.

• Health and wellness programs.