We are looking for an experienced SDET / QE Automation Engineer with strong expertise in test automation and hands-on experience building AI-powered solutions using LLMs. The role requires the ability to design and develop AI-driven test automation use cases, including RAG-based systems and AI agents, along with strong experience in Java/Python-based automation frameworks.

Key Responsibilities

• 6 years of automation experience as SDET / QE / Automation Developer

• Experience using AI-powered tools and services using Java/Python

• AI Tools Experience: AI-assisted developer tools such as Amazon Bedrock, Amazon Q Developer, GitLab Duo and Copilot

• Build AI tools using LLMs: chat assistants, agents, and workflow automation

• Languages/Frameworks: Java, Python, Selenium

• Build/CI/CD: Gradle, Jenkins, GitLab

• Work Management: Jira

• Databases: Oracle, SQL, JDBC

• Test Automation: BDD framework experience (e.g., Cucumber)

• Work independently on assigned testing modules and deliver on time

• Execute functional and automation test cases and report results

• Collaborate effectively in an Agile environment

• Coordinate with stakeholders across onshore and offshore teams

Mandatory skills

• Candidate need to have development experience in building AI Use Cases (RAG, Agents). Just to clarify, this requirement is mainly for developing AI applications or use cases with RAG and Agents on AWS Bedrock.

• First, leverage Bedrock to provide a solution to generate test cases. Second, update the regression code to execute the test cases. Thirdly, execute the automated tests. Therefore we need people that can actually build the solution verse test or use a solution that others have built.

Work Timing: 2 PM to 11 PM