We are building next-generation content intelligence applications powered by diffusion models and agentic workflows with strong evaluation rigor. As a Lead AI Engineer in Content Intelligence Applications, you will develop intelligent agents, MCPs, and robust training/evaluation/deployment harnesses using tools like Firefly while partnering across teams to ship production-ready solutions—apply now.
Responsibilities
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Design, develop, and maintain content intelligence applications that apply diffusion models for automated content generation and analysis
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Build and improve harnesses and pipelines for model training, evaluation, and deployment using platforms like Firefly
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Develop intelligent agents and agentic workflows to automate and optimize content-focused tasks
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Architect and implement MCPs to enable scalable, modular content processing
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Create and maintain evaluation frameworks to measure model and agent performance
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Collaborate with cross-functional teams to integrate content intelligence solutions into the broader product ecosystem
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Stay current with advances in generative AI, diffusion models, and content intelligence technologies
Requirements
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Proven experience of 5+ years in AI/ML engineering, with strong Python skills and a history of building and deploying machine learning models
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Hands-on expertise with generative AI, particularly diffusion models (e.g., Stable Diffusion, Denoising Diffusion Probabilistic Models)
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Solid background in content generation and analysis approaches, including NLP and computer vision
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Practical experience with agent frameworks and building agentic workflows (e.g., LangChain, OpenAI Agents, custom agent architectures)
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Demonstrated ability to develop, run, and maintain evaluation frameworks for AI models
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Working knowledge of orchestration tools and harnesses for model training and deployment (e.g., Firefly, MLflow, Kubeflow)
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Strong problem-solving ability and comfort operating in a fast-paced, collaborative environment
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Excellent communication skills to support cross-team collaboration and clear documentation
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English proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
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Advanced degree in Computer Science, Artificial Intelligence, or a related field
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Knowledge of cloud platforms (AWS, GCP, Azure) for scalable AI deployment
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Familiarity with containerization and orchestration tools (Docker, 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
