AI Agentic Studio QA

About the role

and test automation. The successful candidate will develop robust test strategies, maintain automated coverage for web applications and APIs, and help validate AI-enabled workflows involving large language models (LLMs), multi-agent systems, retrieval-augmented generation (RAG), tool calling, MCP, embeddings, and vector databases.

What you'll do

• Design test strategies and detailed test cases for complex features and workflows
• Perform manual and automated testing to identify, document, track, and verify bugs and defects
• Create, maintain, and improve automated test suites for functional, integration, web, and API testing
• Participate in code reviews and provide constructive feedback on test automation code
• Collaborate with developers and product managers to investigate issues, debug failures, and clarify

What you need

• 4–7 years in data science & ai
• LLMs
• Prompt engineering
• Test automation
• API testing
• Java
• Test cases
• Any graduate

Good to have

• Unit testing
• CI/CD
• JIRA
• Git
• Selenium
• Postman