ai engineer

EPAM is a global provider of digital platform engineering and development services, helping clients transform their businesses through innovative technology solutions.

• Design and build data engineering frameworks, reusable components and templates, and best practices to boost productivity of Data Engineers building AI-ready Data Products;
• Extend data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale;
• Provide a powerful AI-assistant to accelerate Data Product development and operations;
• Establish and promote engineering excellence practices across agile team peers;
• Set up robust, scalable pipelines leveraging CI/CD frameworks;
• Collaborate with international teams to align on technical strategy and delivery;
• Guide Data Product Engineers with actionable technical direction.

• Have 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture;
• Proficient in Python development;
• Proficient in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions;
• Expert in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology;
• Expert in Agentic AI and frameworks such as LangGraph, MCP and A2A;
• Know industry standard microservices technologies, including Kubernetes and Docker;
• Fluent in English for collaboration with international teams;
• Capable of providing actionable technical guidance and implementing engineering excellence practices among agile team peers.

• No conditions specified