Description

𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
Develop and validate AI solutions using RAG, LangChain, and Generative AI technologies.
Perform AI automation testing using specialized evaluation tools.
Conduct performance and security testing of AI systems.
Evaluate AI models using relevant quality metrics.
Identify, document, and report AI-related issues.
Manage end-to-end QA validation and reporting.
Perform functional, non-functional, and performance testing.

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
Strong hands-on AI development experience in RAG, LangChain, and GenAI.
Experience with AI testing tools such as Promptfoo, TruLens, DeepEval, and LangSmith.
Knowledge of AI model evaluation metrics.
Experience in automation testing and QA processes.
Ability to identify issues and prepare clear test reports.
Role Focus: 60–70% hands-on AI development and 30% QA.
Ready to build and validate the next generation of AI solutions?
Comment “GENAI QA” below and share this opportunity with your professional network!
 

Key Skills

Education

Any Graduate