ai engineer

EPAM Systems provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product development and consulting.

• Design multi-agent orchestration solutions including agent graphs, state management and agent-to-agent communication;
• Develop advanced prompt engineering approaches with structured outputs, function/tool calling and multi-step reasoning;
• Produce system/module designs, engineering diagrams and technical documentation;
• Propose multiple solution options with clear trade-off analysis and justified recommendations;
• Apply design patterns and explain non-functional requirements at the system level;
• Implement CI/CD pipeline design, distributed tracing, structured logging and dashboarding;
• Deploy containerized and serverless services with RESTful and event-driven API integration;
• Conduct unit, component, integration and end-to-end testing for AI-backed services;
• Lead and moderate project meetings and communicate directly with customers;
• Translate complex agent behavior into clear business language for non-technical stakeholders;
• Work independently while proactively identifying and resolving blockers;
• Onboard new platforms, tools and skills quickly and efficiently apply them in delivery.

• 3+ Years of experience in software engineering and AI automation;
• Understanding of LLM fundamentals including context windows, tokenization, attention and model limitations;
• Proficiency with at least two agent frameworks and advanced RAG;
• Proficiency in Python, JavaScript or C# or equivalent;
• Hands-on experience with at least two cloud AI platforms such as Azure AI Foundry, AWS Bedrock or Google Vertex AI;
• Familiarity with low code/no code AI workflow automation platforms;
• Skills in Docker, Kubernetes or serverless deployment;
• Proficiency with relational and vector databases;
• Knowledge of SOLID, DRY and KISS principles and code quality metrics;
• Experience with Scrum, Kanban or Waterfall and ability to describe trade-offs for a given project context;
• English proficiency B2 or higher;
• Nice to have: Success story of convincing a customer to adopt a proposed technical solution, Experience in conducting internal and external trainings and tech talks, Troubleshooting success stories in complex AI/automation environments, Experience creating end-to-end automated acceptance tests.

• No conditions specified