Lead Java Software Engineer (AWS, AI)

EPAM·Ukraine·Удалённо·4д. назад

We are looking for a Lead Java Software Engineer to join a cutting-edge AI project enabling Conversational AI for Service Desk request submission, replacing manual catalog form-filling with intelligent guided chat that saves requestors time, reduces friction and eliminates guesswork. You will contribute to building a fully integrated AI ecosystem spanning a Service Catalog Knowledge Base, a Frontdesk Agent and submission-specific agents connected to live enterprise service catalog data, delivering RAG pipelines, ETL processes and multi-agent systems that bridge intelligent agents and real-world ITSM workflows.

Responsibilities

Build the React chat frontend as the primary interface through which users submit service requests via guided conversation rather than manual form-filling
Develop the central Frontdesk Agent to handle user intent classification and routing along with the agent hub that orchestrates communication across the multi-agent system using Spring AI AgentCore
Design and maintain the ETL pipeline to extract and transform ServiceNow Service Catalog metadata, index it into AWS Bedrock Knowledge Bases and keep it current as the catalog evolves
Establish and implement the reusable agent framework, including capability templates, tool definitions, prompt scaffolding and the agentic conversion workflow that all item-specific agents are built on top of
Implement individual agents for specific catalog items using the shared framework, with each agent handling the end-to-end submission flow for its assigned request type including ServiceNow API integration
Instrument agent interactions and LLM calls end-to-end with OpenTelemetry and Dynatrace
Uphold high standards of code quality, testability and documentation while leveraging AI-assisted development tools to maximize productivity
Lead and mentor team members while guiding architectural decisions across the project

Requirements

6+ years of experience in software engineering including 2+ years in a technical leadership role
Proficiency in Java (Spring Boot) and Node.js for backend engineering
Practical experience building on AWS services such as Lambda, API Gateway and S3
Familiarity with AWS IAM and KMS for access management and security
Solid grounding in LLM/AI engineering fundamentals including prompt design, RAG pipelines and agentic patterns, tool use and LLM evaluation
Hands-on experience with Spring AI LLM orchestration framework or similar frameworks
Hands-on experience with AWS Bedrock AgentCore and Knowledge Bases or similar managed RAG/vector services
Experience with Docker, Git and Terraform
Familiarity with GitHub Actions for CI/CD pipelines
Capability to make decisions, resolve ambiguity and unblock themselves through documentation and experimentation
English proficiency at B2+ level or above