AI Vision Engineer

Summary

Join TechBiz Global as an AI Vision Engineer and contribute to the development of visual intelligence capabilities for conversational AI. You will collaborate with engineers, product managers, and content creators to build and ship production-grade features. Fine-tune diffusion-based models, improve image and video generation pipelines, and implement advanced prompt engineering strategies. This role requires experience with generative vision models, strong software engineering skills, and proficiency in Python and relevant libraries. You will work with cloud-based environments and contribute to shared tools and internal libraries. The ideal candidate is a strong communicator, goal-oriented, and comfortable working with uncensored models and content.

Requirements

• Degree in Computer Science, Mathematics, Physics, or related subjects
• 2+ years of hands-on experience with generative vision models and techniques (e.g. Stable Diffusion, GANs, LoRA, Dreambooth, video diffusion models)
• Strong software engineering skills: writing clean, modular, maintainable code; familiarity with version control, testing, and team workflows
• Proficiency in Python and experience with tools and libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV, ComfyUI, or Automatic1111
• Experience working with cloud-based environments (e.g. GCP, AWS) for training, experimentation, and data processing
• Strong communication & collaborative skills (perfectly fluent in English)
• Goal-oriented, ownership and commitment
• Doer mindset - we are moving fast and we need people who can find the right balance between executing, planning and strategy
• Humble - willing to learn, open to feedback
• #NSFW - you are comfortable building products that are based on uncensored models and content

Responsibilities

• Collaborate closely with AI engineers, product managers, and content creators to define and execute on visual AI features
• Fine-tune diffusion-based models by embedding new concepts using techniques like Dreambooth, LoRA, or textual inversion
• Improve and extend our existing image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques
• Implement advanced prompt engineering strategies and visual conditioning mechanisms to ensure high-quality output across diverse user scenarios
• Evaluate, adapt, and integrate relevant open-source models (e.g. Stable Diffusion, VideoCrafter, ModelScope, Hunyuan)
• Contribute to shared tools and internal libraries that support dataset preparation, experimentation, and quality control

Preferred Qualifications

• Background in designing intuitive tooling for content creators or technical teams
• Portfolio of visual AI projects or contributions to open-source models or tools