EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a talented and driven Senior AI Engineer to join our team and lead the development of cutting-edge AI/ML models and GenAI solutions. This role offers an exciting opportunity to collaborate across functions and create innovative systems that solve real-world business problems.
Responsibilities
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Build and deploy scalable AI/ML models and GenAI solutions in production
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Design and maintain robust ETL pipelines and data workflows
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Develop LLM-based applications using modern frameworks
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Implement prompt engineering techniques for optimized AI outputs
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Deploy models via APIs and integrate with enterprise applications
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Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
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Collaborate with cross-functional teams to deliver business-driven AI solutions
Requirements
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5-8 years of general IT experience
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5+ years of experience in AI Engineering
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Strong programming skills in Python
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Hands-on experience with ETL and data pipelines
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Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
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Experience in prompt engineering and working with LLMs
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Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
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Cloud experience working with Azure, AWS, or GCP
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Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
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Strong experience in API development and model deployment
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English level of minimum B2 (Upper-Intermediate) for effective communication
Nice to have
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Experience with RAG architectures and vector databases
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Knowledge of real-time or streaming data pipelines
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Exposure to scalable system design and microservices architecture
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Familiarity with Databricks and PySpark
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Experience with cloud data solutions and ETL pipelines
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
