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Senior AI Engineer in Content Intelligence Applications

Remote in Mexico
AI Engineering& 9 others
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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)