Senior AI Engineer

About the Position

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

• Build and deploy scalable AI/ML models and GenAI solutions in production
• Design and maintain robust ETL pipelines and data workflows
• Develop LLM-based applications using modern frameworks
• Implement prompt engineering techniques for optimized AI outputs
• Deploy models via APIs and integrate with enterprise applications
• Ensure end-to-end ownership, including development, deployment, monitoring, and optimization
• Collaborate with cross-functional teams to deliver business-driven AI solutions

Requirements

• 5-8 years of general IT experience
• 5+ years of experience in AI Engineering
• Strong programming skills in Python
• Hands-on experience with ETL and data pipelines
• Experience with ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience in prompt engineering and working with LLMs
• Familiarity with LLM frameworks: LangChain, LlamaIndex, Hugging Face
• Cloud experience working with Azure, AWS, or GCP
• Experience with MLOps tools such as MLflow, Kubeflow, and Airflow
• Strong experience in API development and model deployment
• English level of minimum B2 (Upper-Intermediate) for effective communication

Nice to Have

• Experience with RAG architectures and vector databases
• Knowledge of real-time or streaming data pipelines
• Exposure to scalable system design and microservices architecture
• Familiarity with Databricks and PySpark
• Experience with cloud data solutions and ETL pipelines

We Offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About the Company

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