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)