Key Responsibilities:

-Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.

-AI Response Validation: Analyze and validate AI-generated outputs to ensure they meet quality standards, are contextually appropriate, and align with user needs.

-Test Case Development: Create and execute comprehensive test cases for AI generated responses, assessing robustness, accuracy, and user experience.

-Iteration and Feedback: Provide structured feedback to improve AI model behavior, performance, and overall functionality.

-Collaboration: Work closely with cross-functional teams including data scientists, engineers, and product managers to implement and test improvements.

Experience:

-5-8 years of professional experience in software development or automation testing.

-Minimum 1 year of hands-on experience with generative AI technologies, large language models (LLMs), or GPT-based systems.

-Strong understanding of natural language processing (NLP) principles.

-Proficiency in programming languages such as Python, JavaScript, or similar tools.

-Experience with automation frameworks and test scripting.

-Familiarity with AI and ML workflows is a plus.

-Strong analytical and problem-solving skills.