Senior AI Engineer in Content Intelligence Applications

Description

Summary: Seeking a Senior AI Engineer to develop cutting-edge content intelligence applications using state-of-the-art diffusion models and construct robust frameworks. Highlights: 1. Build cutting-edge content intelligence applications 2. Apply state-of-the-art diffusion models 3. Develop intelligent agents and agentic workflows 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)