Lead AI Engineer (Content Intelligence Applications)

Remote in Mexico

AI Engineering

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We are building content intelligence applications that use diffusion models for high-quality content generation and analysis at scale. As a Lead AI Engineer (Content Intelligence Applications), you will create agentic workflows, MCPs, and evaluation frameworks while strengthening training-to-deployment harnesses with Firefly. Join the team and apply today

Responsibilities

Architect, implement, and support content intelligence applications that apply diffusion models to automate content creation and analysis
Build and refine harnesses and pipelines for model training, evaluation, and deployment using platforms such as Firefly
Develop intelligent agents and agentic workflows to automate and simplify content-focused processes
Design and roll out MCPs to provide scalable, modular content processing capabilities
Create and maintain evaluation frameworks to track and improve model and agent performance
Collaborate with cross-functional teams to integrate content intelligence solutions into broader product ecosystems
Stay current on advances in generative AI, diffusion models, and content intelligence technologies

Requirements

Proven track record of 5 years in AI/ML engineering, with strong Python skills and demonstrated success building and deploying ML models
Hands-on experience with generative AI, especially diffusion models (such as Stable Diffusion and Denoising Diffusion Probabilistic Models)
Solid background in content generation and analysis techniques, including NLP and computer vision
Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, or custom agent architectures)
Demonstrated ability to build, maintain, and iterate on evaluation frameworks for AI models
Working knowledge of orchestration tools and harnesses for training and deploying models (e.g., Firefly, MLflow, Kubeflow)
Strong analytical skills and comfort solving problems in a fast-moving, highly collaborative environment
Excellent communication skills for cross-team coordination and clear documentation
English proficiency at B2 (Upper-Intermediate) level or above

Nice to have

Graduate degree in Computer Science, Artificial Intelligence, or a comparable field
Experience with cloud platforms (AWS, GCP, Azure) to scale AI deployments
Working knowledge of containerization and orchestration tools such as Docker and Kubernetes