Java with AI role- Remote

Hi We have an urgent role of Java/AI role. URGENT HIRE! Java/AI role

6 mos to start - contract to hire Candidates will be required to take an online technical test from client that won't allow the use of AI Seeking a Software Engineer who thrives on solving complex technical problems in large-scale enterprise applications. This role is focused on investigating customer-reported issues, performing root-cause analysis, navigating complex Java codebases, and developing production-ready code fixes. The ideal candidate enjoys debugging challenging problems, working directly with customers, and delivering high-quality solutions that improve product stability and performance.

Excellent communication (oral & written), analytical and troubleshooting skills. OS experience in one or more areas of Linux, UNIX, and/or Windows. Frameworks: Java, J2EE, Servlets, MDB, HTML, JNDI, Jax-RS, JMS, Junit, XML, JSON Protocols: AS2/4, FTP(S), SFTP, Rest/APIs, RNIF, EBICS Cloud experience in one or more areas of AWS, Azure, Google, IBM, RedHat.

Database experience in one or more areas of Oracle and/or DB2 and/or MS SQL and/or MySQL Ability to read and code through an Object-Oriented Language, preferred Java. Experience with JDBC, JDK, JVM stack traces. Strong understanding & experience of executing Static & Dynamic scans, fixing vulnerabilities. Aptitude to prioritize and handle multiple issues simultaneously. Strong attention to detail and accuracy. Ability to work independently in a fast-paced environment. Ability to function and contribute in a team environment. Required AI Skills/Knowledge: Hands-on experience using AI-assisted engineering tools such as GitHub Copilot, Claude Code, Cursor, or similar tools to understand complex code, accelerate debugging, generate unit tests, improve documentation, and support code review activities. Ability to apply AI tools in customer escalation scenarios, including log analysis, defect diagnosis, root-cause investigation, impact assessment, and identification of safe production code fixes. Working knowledge of responsible AI practices, including validation of AI-generated output, protection of confidential customer/product data, secure prompt usage, and awareness of bias, hallucination, and explainability considerations.