Showroom sales campaigns are the most important time of apparel brands’ financial year, where wholesale buyers are coming to discover the brand's collection and define what will be sold to the end consumer 6 months later.
However the planning and scheduling is bottlenecked and archaic. Thousands of appointments are scheduled in a few days across hundreds of stakeholders, and the coordination is complex. So complex that today brands and buyers spend multiple weeks across their working year on purely scheduling optimisation, on excel sheets.
Our mission at ModaResa is to change this to streamline their showroom scheduling thanks to automated booking and data collection, all while taking into account business criteria, so brands and buyers can plan and interact in the most mindful way.
We're looking for a highly motivated Fullstack Developer Apprentice for a 12–24 month apprenticeship, ideally someone with real-world experience (internships, freelance, or previous apprenticeship), who’s eager to build great products and make AI a central part of their engineering journey.
You’ll join a seasoned team and contribute directly to live features and infrastructure in production from Day 1.
✅ Ideal Profile
Currently studying at a top-tier engineering or tech school (e.g., EPITA, ECE, INSA, Centrale, 42, X, Télécom, ENSIIE, Efrei, etc.)
Has completed 1–2 prior work experiences (internships, apprenticeships, freelance, or serious personal projects)
Solid in JavaScript/TypeScript, with hands-on experience in a modern frontend framework (React, Vue, etc.)
Comfortable with a backend framework (Node.js, Python + FastAPI, Django, etc.)
Understands REST / GraphQL APIs, SQL/NoSQL databases
Strong interest in AI & LLMs (e.g., OpenAI, LangChain, vector databases, RAG, agents, etc.)
Product-minded: able to collaborate closely with UX/UI teams and think beyond the code
Autonomous, curious, delivery-oriented, and cares about clean code and good practices
💻 Our Stack
Frontend: React, TypeScript, Tailwind
Backend: Node.js, Python, FastAPI
Databases: PostgreSQL, MongoDB, Redis
DevOps: Docker, GitHub Actions
Cloud: GCP / AWS
AI/LLM: OpenAI, HuggingFace, LangChain/Dust, Weaviate/Pinecone