Python Developer (AI Platform for Architects) — Junior+/Middle

We’re building an innovative platform that helps architects and interior designers bring their ideas to life using AI. This isn’t a research lab — it’s a real-world product, where AI accelerates design and visualization processes.

Our tech stack is already up and running, and we have a clear roadmap. Now we’re looking for a Python developer with a strong foundation who’s ready to grow into building and supporting AI-based features in a product used by real professionals.

🔧 What You’ll Do:

— Set up and adapt ready-made AI tools (e.g., Stable Diffusion, ControlNet)

— Process images using Python libraries (OpenCV, Pillow)

— Build and configure simple web interfaces (Gradio, Streamlit)

— Automate basic visual pipelines: image upload, generation, export

— Collaborate closely with design and product teams to bring real features to life

— Keep your code clean and maintainable, and continuously improve your skills

💡 What We’re Looking For:

— Solid Python 3.x skills and confidence working with core libraries

— Understanding of how image processing works (filtering, transformations, etc.)

— Basic knowledge of modern AI/ML concepts (especially diffusion models is a plus)

— Ability to quickly prototype with Gradio / Streamlit

— Curiosity and initiative to dive into our stack and get things working end-to-end

⭐️ Bonus Points For:

— Hands-on experience with Stable Diffusion, ControlNet or similar models

— Understanding GPU inference (CUDA, PyTorch, etc.)

— Familiarity with Docker

— Experience working with or modifying open-source AI tools

🚀 Why This Role Is Great:

— A working stack and clear architecture: no need to build from scratch

— Lots of hands-on coding, real use cases, real users

— Small, focused team where you can learn fast and take ownership

— Minimal bureaucracy, maximum speed

— A chance to grow into a core engineer on an ambitious AI product

📩 Interested in building an AI product without getting stuck in theoretical research?

Just drop us a message or send your resume — all we need is Python confidence and motivation to grow. We’ll teach the rest.