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Open nowPosted 18 hours ago

AI Agentic Studio QA

Coditude12 open roles

Where
Pune
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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 18 hours ago

The posting

Role Overview

Coditude is looking for an AI Agentic Studio QA professional with around 4 years of experience in quality assurance

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.

Key Responsibilities

● 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

requirements.

● Participate in Agile/Scrum ceremonies, communicate testing progress, and discuss defects, risks, and open

issues.

● Validate AI-driven functionality, including prompt behavior, agent workflows, RAG, tool calling, and output quality.

Required Skills & Qualifications

● Proficiency in Java programming and Git version control.

● Hands-on experience with web test automation using Selenium WebDriver and Java.

● Experience in API testing and automation, with working knowledge of Postman and REST Assured.

● Experience with the TestNG testing framework.

● Working knowledge of Maven and IntelliJ IDEA.

● Experience with or knowledge of Jenkins and CI/CD workflows.

● Understanding of Docker and containerization concepts.

● Understanding of LLM testing concepts, including multi-agent systems, RAG, tool calling, and MCP.

● Knowledge of testing embeddings and vector databases.

● Experience with prompt engineering and prompt/output validation.

● Understanding of Agile/Scrum methodologies and familiarity with Jira and Wiki applications.

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