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
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Create, build, and support content intelligence applications that use diffusion models for automated content generation and analysis
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Develop and improve harnesses and pipelines for training, evaluating, and deploying models, making use of platforms such as Firefly
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Build intelligent agents and agentic workflows that automate and streamline content-related tasks
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Design and deploy MCPs to enable scalable and modular content processing
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Develop and maintain evaluation frameworks to measure the performance of models and agents
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Partner with cross-functional teams to embed content intelligence solutions into wider product ecosystems
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Keep current with the newest progress in generative AI, diffusion models, and content intelligence technologies
Requirements
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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
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Practical experience with generative AI models, particularly diffusion models (such as Stable Diffusion, Denoising Diffusion Probabilistic Models)
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Knowledge of content generation and analysis methods, including NLP and computer vision
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Experience with agent frameworks and constructing agentic workflows (such as LangChain, OpenAI Agents, custom agent architectures)
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Capability to build and maintain evaluation frameworks for AI models
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Competence with orchestration tools and harnesses for model training and deployment (such as Firefly, MLflow, Kubeflow)
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Solid problem-solving abilities and the capacity to thrive in a fast-paced, team-oriented setting
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Outstanding communication abilities for working across teams and producing documentation
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English skills at B2 level or above
Nice to have
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A higher degree in Computer Science, Artificial Intelligence, or a related discipline
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Understanding of cloud platforms (AWS, GCP, Azure) for scalable AI deployment
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Experience with containerization and orchestration (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
