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
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Architect, implement, and support content intelligence applications that apply diffusion models to automate content creation and analysis
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Build and refine harnesses and pipelines for model training, evaluation, and deployment using platforms such as Firefly
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Develop intelligent agents and agentic workflows to automate and simplify content-focused processes
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Design and roll out MCPs to provide scalable, modular content processing capabilities
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Create and maintain evaluation frameworks to track and improve model and agent performance
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Collaborate with cross-functional teams to integrate content intelligence solutions into broader product ecosystems
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Stay current on advances in generative AI, diffusion models, and content intelligence technologies
Requirements
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Proven track record of 5 years in AI/ML engineering, with strong Python skills and demonstrated success building and deploying ML models
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Hands-on experience with generative AI, especially diffusion models (such as Stable Diffusion and Denoising Diffusion Probabilistic Models)
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Solid background in content generation and analysis techniques, including NLP and computer vision
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Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, or custom agent architectures)
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Demonstrated ability to build, maintain, and iterate on evaluation frameworks for AI models
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Working knowledge of orchestration tools and harnesses for training and deploying models (e.g., Firefly, MLflow, Kubeflow)
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Strong analytical skills and comfort solving problems in a fast-moving, highly collaborative environment
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Excellent communication skills for cross-team coordination and clear documentation
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English proficiency at B2 (Upper-Intermediate) level or above
Nice to have
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Graduate degree in Computer Science, Artificial Intelligence, or a comparable field
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Experience with cloud platforms (AWS, GCP, Azure) to scale AI deployments
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Working knowledge of containerization and orchestration tools such as Docker and Kubernetes
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
