Lead AI Engineer in Content Intelligence Applications

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)