Lead Java Software Engineer

EPAM Systems is seeking a Lead Java Software Engineer to work on an innovative AI initiative that enhances the Service Desk experience. In this role, you'll develop a comprehensive AI ecosystem, including a chat frontend and various agents, to streamline service request submissions and improve user interaction.

Responsibilities:

• Develop the React chat frontend that serves as the main channel for users to submit service requests through guided conversation instead of manual forms
• Create the central Frontdesk Agent responsible for classifying and routing user intent, plus build the agent hub that coordinates the multi-agent system using Spring AI AgentCore
• Design and maintain an ETL pipeline that extracts and transforms ServiceNow Service Catalog metadata, indexes it into AWS Bedrock Knowledge Bases and keeps it updated as the catalog changes
• Build and implement a reusable agent framework featuring capability templates, tool definitions, prompt scaffolding and an agentic conversion workflow that serves as the foundation for all item-specific agents
• Create individual agents for particular catalog items using the shared framework, where each agent manages the complete submission process for its designated request type, including integration with ServiceNow APIs
• Monitor agent interactions and LLM calls comprehensively using OpenTelemetry and Dynatrace
• Maintain rigorous standards for code quality, testability and documentation while using AI-assisted development tools to boost efficiency
• Provide leadership and mentorship to team members while directing architectural decisions throughout the project

Requirements:

• Minimum 6 years in software engineering, with at least 2 years in a technical leadership capacity
• Strong skills in Java (Spring Boot) and Node.js for backend development
• Hands-on background working with AWS services including Lambda, API Gateway and S3
• Working knowledge of AWS IAM and KMS for managing access and security
• Strong foundation in LLM/AI engineering principles, covering prompt design, RAG pipelines, agentic patterns, tool usage and LLM evaluation
• Direct experience using the Spring AI LLM orchestration framework or comparable tools
• Direct experience with AWS Bedrock AgentCore and Knowledge Bases or similar managed RAG/vector solutions
• Proficiency with Docker, Git and Terraform
• Knowledge of GitHub Actions for building CI/CD pipelines
• Ability to make independent decisions, navigate ambiguity and resolve blockers through research and testing
• English language skills at B2+ level or higher
• Willingness to use React.JS for developing and refining a chat UI
• Python skills for automation scripting
• Knowledge of the ServiceNow Service Catalog