Mid-Senior Full-Stack Developer - Luxury Intelligence Platform

About the Role

We are seeking a talented Mid-Senior Full-Stack Developer to join our team at DLG (Digital Luxury Group). This role offers the opportunity to work remotely while collaborating with a small, senior team dedicated to building a next-generation intelligence platform for the global luxury sector. As a Mid-Senior Full-Stack Developer, you will be at the forefront of developing innovative solutions that leverage AI and data-intensive architectures, making this a unique opportunity to shape the future of luxury intelligence.

What You'll Do

• Build and evolve front-end experiences using React and Next.js, focusing on clarity, performance, and premium UX.
• Design and implement secure, scalable backend APIs using Node.js and PostgreSQL.
• Work on AI-enabled and agent-based workflows, integrating data, models, and tools into production systems.
• Contribute to data processing, analysis, and automation tasks, including Python-based services or scripts where appropriate.
• Integrate internal and external data sources to power analytics dashboards, insights, and automated reasoning pipelines.
• Containerize and deploy services using Docker, primarily in a GCP/Cloud Run environment.
• Collaborate closely with engineering, data, and product stakeholders to deliver production-ready features.
• Translate evolving product requirements into clear, maintainable technical solutions.

Requirements

• Excellent spoken and written English; confident communicator.
• 3–6+ years professional experience in full-stack JavaScript/TypeScript development (or equivalent capability).
• Strong experience with React and Next.js, including component architecture and state management.
• Solid backend experience with Node.js and practical SQL usage.
• Experience working with Docker and container-based development.
• Familiarity with cloud environments (GCP preferred; AWS/Azure acceptable).
• Strong debugging, reasoning, and problem-solving skills.
• Ability to work autonomously and collaboratively in a small, senior team.

Nice to Have

• Python experience, especially for data processing, analytics, ML pipelines, or backend services.
• Experience working with BigQuery or large-scale analytical data warehouses.
• Familiarity with agent frameworks such as CrewAI, or similar orchestration tools.
• Working knowledge of MCP (Model Context Protocol) or agent/tool-calling architectures.
• Experience with TypeScript, TailwindCSS, or PostgreSQL at scale.
• Exposure to machine learning workflows, analytics systems, or statistical modeling.
• Familiarity with data visualization libraries (ECharts, Highcharts, D3).
• Experience with workflow automation tools (e.g., n8n) or event-driven systems.
• Prior experience building B2B SaaS or analytics platforms.

What We Offer

• Work on a discreet, high-impact platform used by senior stakeholders in a global industry.
• Hands-on exposure to agentic AI, constrained LLM systems, and data-intensive architectures in production.
• A small, senior team with high trust, clear ownership, and strong delivery standards.
• Remote-first flexibility with structured collaboration.
• Competitive compensation aligned with experience and contribution.