GenAI Developer

Generative AI (GenAI) Developer/Engineer About Groove Jones: Groove Jones is a leader in digital innovation, specializing in augmented reality (AR), virtual reality (VR), and immersive interactive media. Our multidisciplinary team delivers cutting-edge solutions for global clients, blending state-of-the-art technology with creative storytelling. Position Overview: We are seeking a Generative AI Developer/Engineer with strong experience in designing and deploying scalable generative AI pipelines for image, video, and 3D content. This is a highly technical role focused on implementing, optimizing, and automating multimodal generative models and integrating them into interactive production environments. Proficiency in ComfyUI for workflow management is a key requirement, alongside other foundational skills in model development, prompt engineering, and creative automation. This is a project-based contract position with immediate start. Responsibilities: • Architect, develop, and automate end-to-end generative pipelines for text-to-image, text-to-video, and text-to-3D/scene synthesis using state-of-the-art models (e.g., Stable Diffusion, Sora, DALL-E, diffusion and transformer-based frameworks). • Implement and optimize Gaussian splatting and point-based rendering pipelines for high-fidelity, interactive 3D scene representation and integration with AR/VR/XR platforms. • Integrate and extend ComfyUI-based node workflows into broader production toolchains, ensuring robust version control, reproducibility, and pipeline modularity. • Develop custom nodes, scripts, and tools to interface generative models with creative and real-time engines (Unity / WebGL). • Prototype and deploy advanced workflows for prompt engineering, multi-model chaining, batch generation, and asset post-processing. • Apply best practices in model fine-tuning, inference optimization, distributed training, data augmentation, and A/B content testing to improve pipeline performance and output. • Work with cross-functional teams to translate creative and technical requirements into scalable AI-powered content solutions. • Maintain thorough documentation of pipeline architecture, dependencies, workflow variants, and key customization for internal and client use. • Stay up to date with developments in generative AI, visual computing, neural rendering, and creative automation frameworks. Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computational Imaging, or closely related field. • Hands-on experience with ComfyUI for workflow management, node customization, and integration of generative AI models. • Proficiency in Python and libraries including PyTorch, TensorFlow, Hugging Face (Transformers, Diffusers), RunwayML, Sora, Nerfstudio, and Gaussian Splatting toolkits. • Strong background in multimodal model development (image, video, 3D), prompt engineering, and creative automation. • Experience developing and deploying generative 3D workflows involving Gaussian splatting, NeRF, photogrammetry, or point cloud rendering. • Proven ability to work with REST APIs, containerized environments (Docker), and CI/CD pipelines for scalable deployment. • Experience integrating generative outputs into production creative environments such as Unity or WebGL. • Experience with cloud services like AWS and proficiency in Linux system administration and command-line operations. • Advanced understanding of version control (Git), modular code design, automated testing, and performance profiling in production environments. • Strong analytical and communication skills with the ability to document and share technical processes across a multidisciplinary team.