AI Image/Video Engineer for AI companion app
Summary
Freelancer Client is hiring: AI Image/Video Engineer for AI companion app.
Location: Remote
DO NOT REACH OUT with AI auto pitch!!! Will be ignored!!! DO NOT reach out if you have never done AI girl/AI companion!!!! DO NOT reach out if you have never trained a good Lora/ checkpoint, WILL be ignored!!!! This is a full time position.
What you'll do:
• Train image checkpoints and image loras.
• Design and optimize AI image/video generation pipelines for high-concurrency inference
• Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX)
• Optimize GPU inference performance using TensorRT, xformers, and quantization techniques
• Implement LoRA-based fine-tuning for character consistency and style customization
Requirements:
• Must familiar with AI companion industry.
• 5+ years of AI/ML engineering experience
• Hands-on experience with video or image generation systems in production
• Strong PyTorch skills; experience with Diffusers and DiT architectures
• Solid understanding of GPU inference optimization (TensorRT, xformers, quantization)
• Practical LoRA fine-tuning experience, including hyperparameter tuning and overfitting control
• Ability to independently build and deploy inference API services (Python / Node.js)
Skills: Python, Machine Learning (ML), Node.js, AI Model Development, Generative Model, AI Model Integration, AI Development
Budget: $1500–$3000 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
DO NOT REACH OUT with AI auto pitch!!! Will be ignored!!! DO NOT reach out if you have never done AI girl/AI companion!!!! DO NOT reach out if you have never trained a good Lora/ checkpoint, WILL be ignored!!!! This is a full time position.
What you'll do
Train image checkpoints and image loras.
Design and optimize AI image/video generation pipelines for high-concurrency inference
Integrate and fine-tune open-source video generation models (e.g. Wan2.2, CogVideoX)
Optimize GPU inference performance using TensorRT, xformers, and quantization techniques
Implement LoRA-based fine-tuning for character consistency and style customization
Requirements
Must familiar with AI companion industry.
5+ years of AI/ML engineering experience
Hands-on experience with video or image generation systems in production
Strong PyTorch skills; experience with Diffusers and DiT architectures
Solid understanding of GPU inference optimization (TensorRT, xformers, quantization)
Practical LoRA fine-tuning experience, including hyperparameter tuning and overfitting control
Ability to independently build and deploy inference API services (Python / Node.js)
Location & Details
Apply on source →About this listing
This remote opportunity was imported from Freelancer and is shown here for discovery. To apply, follow the link to the original posting.