Our team is looking for a skilled Senior AI Engineer to contribute to building cutting-edge content intelligence applications. The position centers on applying state-of-the-art diffusion models for both generating and analyzing content, while also creating reliable frameworks and agentic workflows. Using tools like Firefly, you'll help develop agents, MCPs, evaluation frameworks, and agentic workflows.
Responsibilities
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Architect, build, and support content intelligence applications that use diffusion models for automated content creation and analysis
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Construct and improve harnesses and pipelines covering model training, evaluation, and deployment, taking advantage 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 for measuring model and agent performance
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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 new developments in generative AI, diffusion models, and content intelligence technologies
Requirements
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A minimum of 3 years in AI/ML engineering, paired with solid Python programming skills and proven experience building and deploying ML models
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Practical knowledge of generative AI models, particularly diffusion models (such as Stable Diffusion and Denoising Diffusion Probabilistic Models)
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Exposure to content generation and analysis methods, including NLP and computer vision
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Experience with agent frameworks and constructing agentic workflows (e.g., LangChain, OpenAI Agents, or 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 used for training and deploying models (e.g., Firefly, MLflow, Kubeflow)
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Strong problem-solving abilities and comfort working in a fast-moving, collaborative setting
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Outstanding communication skills supporting cross-team coordination and documentation
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English language proficiency at B2 level or above
Nice to have
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A graduate degree in Computer Science, Artificial Intelligence, or a comparable field
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Experience with cloud platforms (AWS, GCP, Azure) for scaling AI deployments
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Working knowledge of containerization and orchestration technologies (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
