Lead AI Engineer (Content Intelligence Applications)

Description

Summary: Lead AI Engineer to architect, implement, and support content intelligence applications using diffusion models for high-quality content generation and analysis. Highlights: 1. Architect and implement content intelligence applications using diffusion models 2. Develop intelligent agents and agentic workflows for content processes 3. Strengthen training-to-deployment harnesses with platforms like Firefly We are building content intelligence applications that use diffusion models for high\-quality content generation and analysis at scale. As a **Lead AI Engineer (Content Intelligence Applications)**, you will create agentic workflows, MCPs, and evaluation frameworks while strengthening training\-to\-deployment harnesses with Firefly. Join the team and apply today **Responsibilities** * Architect, implement, and support content intelligence applications that apply diffusion models to automate content creation and analysis * Build and refine harnesses and pipelines for model training, evaluation, and deployment using platforms such as Firefly * Develop intelligent agents and agentic workflows to automate and simplify content\-focused processes * Design and roll out MCPs to provide scalable, modular content processing capabilities * Create and maintain evaluation frameworks to track and improve model and agent performance * Collaborate with cross\-functional teams to integrate content intelligence solutions into broader product ecosystems * Stay current on advances in generative AI, diffusion models, and content intelligence technologies **Requirements** * Proven track record of 5 years in AI/ML engineering, with strong Python skills and demonstrated success building and deploying ML models * Hands\-on experience with generative AI, especially diffusion models (such as Stable Diffusion and Denoising Diffusion Probabilistic Models) * Solid background in content generation and analysis techniques, including NLP and computer vision * Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, or custom agent architectures) * Demonstrated ability to build, maintain, and iterate on evaluation frameworks for AI models * Working knowledge of orchestration tools and harnesses for training and deploying models (e.g., Firefly, MLflow, Kubeflow) * Strong analytical skills and comfort solving problems in a fast\-moving, highly collaborative environment * Excellent communication skills for cross\-team coordination and clear documentation * English proficiency at B2 (Upper\-Intermediate) level or above **Nice to have** * Graduate degree in Computer Science, Artificial Intelligence, or a comparable field * Experience with cloud platforms (AWS, GCP, Azure) to scale AI deployments * Working knowledge of containerization and orchestration tools such as Docker and Kubernetes