Senior AI Engineer in Content Intelligence Applications

Our team is looking for a skilled Senior AI Engineer to help build cutting-edge content intelligence applications. The position centers on applying state-of-the-art diffusion models for both generating and analyzing content, while also constructing solid frameworks and agentic workflows. You will utilize tools like Firefly and play a part in creating agents, MCPs, evaluation frameworks, and agentic workflows. Responsibilities Create, build, and support content intelligence applications that use diffusion models for automated content generation and analysis Develop and improve harnesses and pipelines for training, evaluating, and deploying models, making use of platforms such as Firefly Build intelligent agents and agentic workflows that automate and streamline content-related tasks Design and deploy MCPs to enable scalable and modular content processing Develop and maintain evaluation frameworks to measure the performance of models and agents Partner with cross-functional teams to embed content intelligence solutions into wider product ecosystems Keep current with the newest progress in generative AI, diffusion models, and content intelligence technologies Requirements A minimum of 3 years of experience in AI/ML engineering, with solid Python programming abilities and a proven history of building and deploying ML models Practical experience with generative AI models, particularly diffusion models (such as Stable Diffusion, Denoising Diffusion Probabilistic Models) Knowledge of content generation and analysis methods, including NLP and computer vision Experience with agent frameworks and constructing agentic workflows (such as LangChain, OpenAI Agents, custom agent architectures) Capability to build and maintain evaluation frameworks for AI models Competence with orchestration tools and harnesses for model training and deployment (such as Firefly, MLflow, Kubeflow) Solid problem-solving abilities and the capacity to thrive in a fast-paced, team-oriented setting Outstanding communication abilities for working across teams and producing documentation English skills at B2 level or above Nice to have A higher degree in Computer Science, Artificial Intelligence, or a related discipline Understanding of cloud platforms (AWS, GCP, Azure) for scalable AI deployment Experience with containerization and orchestration (Docker, Kubernetes)