At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an AI Vision Engineer to join one of our clients’ teams. If you’re looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
As an AI Vision Engineer, you will help drive the development of visual intelligence capabilities that power conversational AI experiences. You’ll work hands-on with generative models and computer vision techniques to evolve the image and video stack, improving quality, consistency, and user engagement. This is a highly applied role, focused on building and shipping production-grade features that enhance the creative potential of our platform.

SOFT SKILLS

• 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

• 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

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