Backend Engineer Intern
il y a 2 jours
Company Description
McLeuker supports fashion brands and textile suppliers in developing sustainability strategies by integrating sustainable fashion with market-entry and expansion goals. Specializing in reducing environmental impact, ethical sourcing, improving product traceability, and optimizing supply chains, McLeuker focuses on France and China markets. By promoting circular business models, the company aids clients in transitioning to sustainable practices.
Role Description
We are building a mobile application powered by a high-performance Python backend. We are looking for a motivated Backend Engineer Intern with experience or strong interest in FastAPI to help design, build, and scale our backend services.
This is a hands-on, project-based internship where you will work on real backend systems that power AI-driven features, mobile APIs, and data pipelines. You will collaborate closely with frontend and AI teams using a modern, asynchronous FastAPI stack.
This position is unpaid
, and there is no fixed salary. Please apply only if you are comfortable with this. We are looking for someone eager to gain real-world experience in AI and fashion-tech development.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field
- Hands-on experience with Python and basic backend development
- Familiarity with FastAPI or similar Python frameworks (Flask, Django)
- Understanding of REST APIs and asynchronous programming concepts
- Basic knowledge of databases and data models
- Strong communication skills and ability to work in a remote collaborative environment
You will get
- Real-world experience building and scaling a Python/FastAPI backend for an AI-powered fashion-tech product
- Exposure to AI-driven systems, mobile app architecture, and sustainability-focused technology
- Flexible working hours in a friendly, international startup environment
- Portfolio-ready backend features and tangible project experience
- Hands-on collaboration with frontend and AI engineers
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