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jaydhub

Everything we do, we believe in creating companies where people are highly engaged. Everyday.

Full-Stack Engineer, Java, React

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 11-50Since 2022H1B No SponsorCompany SiteLinkedIn

Location

Portugal

Posted

13 days ago

Salary

€42K - €47.6K / year

Seniority

Senior

Job Description

Full-Stack Engineer, Java, React

jaydhub

• Microservices in Java / Spring Boot — account management, catalog, cellar tracking, NFC smart-cork authentication, engagement, gamification challenges, geotagging, and more. • MongoDB-backed, message-driven architecture using SNS/SQS for asynchronous communication, deployed on Kubernetes. • Consumer Mobile App (React + Ionic + Capacitor) — cross-platform iOS/Android app with NFC scanning, AI bottle storytelling, digital cellar, Wine Passport, social tasting experiences, and DTC commerce. • Producer Backoffice (React + MUI + Vite) — campaign management, analytics dashboards, bottle logistics, content editing (TipTap), data import/export, and AI-powered insights for winery clients. • AI-Powered Features — RAG pipelines for wine knowledge retrieval, AI food pairing engine, personalised wine recommendations, intelligent wine profiling, AI sommelier assistant, and an on-scan AI assistant that adapts every bottle interaction to the person holding it. • You'll work with LLMs, build and optimise retrieval-augmented generation systems, and help design agentic workflows that make every tap smarter.

Job Requirements

  • 3+ years building production systems with Java / Spring Boot and React / TypeScript
  • Solid experience with MongoDB or other document databases
  • Comfortable with RESTful API design and microservice architectures
  • Experience with message-driven architectures (SNS/SQS, Kafka, RabbitMQ, or similar)
  • Experience building or maintaining mobile apps (React Native, Ionic/Capacitor, or native)
  • Working knowledge of AWS cloud services — S3, CloudFront, Route 53, SNS, SQS, and related
  • Experience with Infrastructure as Code (Terraform preferred)
  • Familiarity with CI/CD pipelines and containerised deployments (Docker, Kubernetes)
  • Active daily use of AI tools for development — you already use LLMs, copilots, and AI-assisted workflows as part of how you write, review, and ship code
  • Understanding of AI/LLM fundamentals — you know how large language models work, what RAG is, and how to integrate AI capabilities into real products
  • Familiarity with AI concepts and protocols: RAG, MCP (Model Context Protocol), AI Agents, and emerging standards like A2A (Agent-to-Agent), A2UI, AG-UI
  • Strong sense of product ownership — you ship features, not just code
  • Fluent in English (written and spoken)

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