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We are currently looking for a proactive AI Engineer to join a top-performing product - a true leader in its category, supported by a strong and friendly team with deep industry expertise.

Key Responsibilities:

1. Models & Infrastructure

• Deploy and configure modern text-to-image models (Stable Diffusion 1.5 / XL / 3.x, FLUX, etc.) on cloud GPUs or internal servers.
• Integrate and maintain additional modules: LoRA, ControlNet, DreamBooth / fine-tuning tools.
• Set up a reliable generation pipeline: queues, batching, logging, and monitoring.

2. Custom Styles & Training

• Train and fine-tune models / LoRA adapters for company-specific visual styles and use cases.
• Collaborate with the art team to prepare and clean datasets.
• Maintain a library of models and styles (versions, descriptions, usage examples).

3. Tools for Internal Users

• Configure a convenient workflow for internal teams using existing UIs (Automatic1111, ComfyUI) or develop a lightweight custom web interface.
• Create presets and straightforward generation flows, ensuring non-technical team members can achieve consistent results.

4. Support & Development

• Monitor service stability and generation quality.
• Optimize performance (model configurations, generation parameters, caching).
• Test new models and features, introducing them when they provide real business value.

Requirements:

• Experience with Python.
• Experience with PyTorch.
• Hands-on experience with modern diffusion models: Stable Diffusion (1.5 / XL / 3.x), FLUX or similar derivatives.
• Experience with at least part of the ecosystem: LoRA (training/inference), ControlNet, DreamBooth or other fine-tuning approaches.
• Experience with one or more model-management tools: ComfyUI, Automatic1111 WebUI, or custom Gradio/Streamlit interfaces.
• Basic image processing skills (PIL, OpenCV, or similar libraries).
• English.

Nice to Have:

• Experience deploying on cloud GPU services (RunPod, Vast.ai, AWS/GCP, etc.).
• Ability to build simple APIs (FastAPI / Flask) to access models.
• Basic understanding of Docker / containerization.
• Knowledge of MLOps fundamentals: weight storage, model versioning, backups, logging.
• Experience collaborating with creative teams and interest in visual content.

What We Offer:

• Employment according to the Labor Code of the Republic of Belarus (the company is the resident of the PVT).
• Extended health insurance policy from the first month of work.
• Additional payments for sick leaves and days off.
• Sport Days, Teambuilding Events and Parties.
• Breakfast and healthy snacks in the office.
• Gifts and bonuses for employees on significant dates (birthday, wedding, birth of children).
• Relaxation room in the office.
• Competitive salary and benefits package.
• Opportunity to work with a talented and passionate team in a creative and dynamic environment.
• Flexible working hours and remote/office work options.
• Career growth and professional development opportunities.
• A fun and inclusive company culture that celebrates diversity and creativity.

* The position has been posted in anticipation of its official opening.

* Вакансия открыта в связи с перспективой потребности в работнике.

Join us and let’s create great product together!