Senior AI Engineer

About the Position

We are looking for a Senior AI Engineer to join our team and work on building and deploying AI-driven solutions using Databricks as our main data platform. The ideal candidate will design, build, and deploy intelligent agents and applications, leveraging modern orchestration patterns and retrieval-based systems to deliver scalable AI solutions.

Responsibilities

• Design and deploy agents and applications on Databricks
• Build and maintain RAG systems for AI-driven solutions
• Implement agentic frameworks to support intelligent automation
• Develop orchestration patterns using both code-driven and LLM-driven approaches
• Manage data governance and cataloging through Unity Catalog
• Track and manage machine learning experiments using MLflow
• Utilize Genie and Genie Spaces to support data exploration and insights
• Maintain infrastructure as code using Terraform
• Collaborate with cross-functional teams to integrate AI solutions into existing workflows

Requirements

• 5+ years of experience in AI engineering or a related field
• Expertise in Databricks, Model Context Protocol, and Python
• Proficiency in RAG applications development
• Familiarity with MLflow, Genie, Genie Spaces, and Databricks One
• Knowledge of Unity Catalog and deploying agents and apps on Databricks
• Understanding of agentic frameworks and orchestration patterns (code-driven and LLM-driven)
• Familiarity with Terraform
• English level C1+

We Offer

We believe that the greatest strength of the company is its people. EPAM is fully committed to helping its employees reach their full potential and achieve their professional goals through continuous learning. With this in mind, we would like to introduce to you a few of the many opportunities and services which we believe will help you expand your current knowledge:

• Full access to cutting-edge tools and technologies
• Competitive compensation depending on experience and skills
• All-around Social package: professional & soft skills training, medical & family care programs, sports
• Free English classes
• Unlimited access to LinkedIn learning solutions
• Continuous experience exchange with experts and professionals worldwide
• Friendly team and comfortable working environment
• Engineering, corporate, and social events within and outside the Company
• Flexible working schedule
• Opportunities for self-realization

About the Company

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