Lead AI Engineer in Content Intelligence Applications

Description

Summary: Lead AI Engineer in Content Intelligence Applications to develop intelligent agents, MCPs, and robust training/evaluation/deployment harnesses using diffusion models. Highlights: 1. Develop next-generation content intelligence applications 2. Apply diffusion models for automated content generation and analysis 3. Build and improve harnesses and pipelines for model training and deployment We are building next\-generation content intelligence applications powered by diffusion models and agentic workflows with strong evaluation rigor. As a **Lead AI Engineer in Content Intelligence Applications**, you will develop intelligent agents, MCPs, and robust training/evaluation/deployment harnesses using tools like Firefly while partnering across teams to ship production\-ready solutions—apply now. **Responsibilities** * Design, develop, and maintain content intelligence applications that apply diffusion models for automated content generation and analysis * Build and improve harnesses and pipelines for model training, evaluation, and deployment using platforms like Firefly * Develop intelligent agents and agentic workflows to automate and optimize content\-focused tasks * Architect and implement MCPs to enable scalable, modular content processing * Create and maintain evaluation frameworks to measure model and agent performance * Collaborate with cross\-functional teams to integrate content intelligence solutions into the broader product ecosystem * Stay current with advances in generative AI, diffusion models, and content intelligence technologies **Requirements** * Proven experience of 5\+ years in AI/ML engineering, with strong Python skills and a history of building and deploying machine learning models * Hands\-on expertise with generative AI, particularly diffusion models (e.g., Stable Diffusion, Denoising Diffusion Probabilistic Models) * Solid background in content generation and analysis approaches, including NLP and computer vision * Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, custom agent architectures) * Demonstrated ability to develop, run, and maintain evaluation frameworks for AI models * Working knowledge of orchestration tools and harnesses for model training and deployment (e.g., Firefly, MLflow, Kubeflow) * Strong problem\-solving ability and comfort operating in a fast\-paced, collaborative environment * Excellent communication skills to support cross\-team collaboration and clear documentation * English proficiency at B2 (Upper\-Intermediate) level or higher **Nice to have** * Advanced degree in Computer Science, Artificial Intelligence, or a related field * Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deployment * Familiarity with containerization and orchestration tools (Docker, Kubernetes)