GenAI Workflow Developer

3 days ago


davangere, India beBeePipelineEngineer Full time

As a pivotal figure in our workflow infrastructure, the GenAI Pipeline / Workflow Engineer is responsible for designing and maintaining node-graph and script-based pipelines that utilize tools such as ComfyUI and Stable Diffusion to deliver consistent shots and sequences.This role sits at the intersection of artists and infrastructure, ensuring that AI-based workflows are predictable, efficient, and suitable for production use.The position focuses on creating reusable workflows for key tasks (keyframes, style transfer, image-to-video, text-to-video, upscaling, repair), optimizing them for cost and performance, and exposing them as services that other teams can integrate with.The ideal candidate will design first-frame-controlled and reference-guided workflows that preserve characters, composition, and style across multiple shots.Collaboration with the Technical Director to expose workflows as APIs with clear contracts and versioning is also essential.Profiling and optimizing pipelines for speed, cost, and quality (node selection, batching, caching, model loading strategies) is critical.Candidate should be able to work with GenAI artists and producers to convert creative specifications into stable, reusable templates.A strong background in technical media, VFX, creative coding, or ML/computer vision engineering is required. Experience with ComfyUI or similar node-graph tools is necessary. Familiarity with LoRA, ControlNet/IP-Adapter, and modern image/video models is also required. Proficiency in Python and ffmpeg for programmatic image and video processing is essential. Understanding of GPU resource constraints, inference optimization, and typical generative model failure modes is crucial. A portfolio of workflows, tools, or demos showcasing expertise is highly valued.



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