This is a remote position. Job Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesThis is a remote position. Job Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practices

This is a remote position.

Job Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description: • Design and execute test plans and test cases for AI/LLM-based applications • Perform functional, regression, and performance testing for AI models and LLM integrations • Validate prompt engineering techniques to ensure accurate and relevant model outputs • Identify, track, and report defects in AI behavior and LLM responses • Collaborate with AI/ML engineers to analyze model limitations and improve quality • Develop automated testing frameworks for AI workflows and output validation • Monitor model performance metrics such as accuracy, relevance, bias, and reproducibility • Stay updated on the latest trends in AI/LLM testing and best practices Required Skills: • 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testing • Strong understanding of Large Language Models (LLMs) and evaluation methods • Hands-on experience in prompt engineering and generative AI output validation • Familiarity with AI testing frameworks and model validation techniques • Proficiency in Python, Java, or similar scripting languages • Experience with automation tools like Selenium or PyTest is a plus • Strong analytical, problem-solving, and documentation skills Preferred Qualifications: • BE / BTech / MCA • Experience with AI models, NLP applications, or generative AI platforms • Knowledge of AI ethics and responsible AI testing practicesJob Description:Job Description:• Design and execute test plans and test cases for AI/LLM-based applicationstest plans and test cases• Perform functional, regression, and performance testing for AI models and LLM integrationsfunctional, regression, and performance testing• Validate prompt engineering techniques to ensure accurate and relevant model outputsprompt engineering techniques• Identify, track, and report defects in AI behavior and LLM responses• Collaborate with AI/ML engineers to analyze model limitations and improve quality• Develop automated testing frameworks for AI workflows and output validationAI workflows and output validation• Monitor model performance metrics such as accuracy, relevance, bias, and reproducibilityaccuracy, relevance, bias, and reproducibility• Stay updated on the latest trends in AI/LLM testing and best practicesAI/LLM testing and best practicesRequired Skills:Required Skills:• 5–6 years of experience in software testing, including 2+ years in AI/ML or LLM testingAI/ML or LLM testing• Strong understanding of Large Language Models (LLMs) and evaluation methodsLarge Language Models (LLMs)• Hands-on experience in prompt engineering and generative AI output validationprompt engineering and generative AI output validation• Familiarity with AI testing frameworks and model validation techniquesAI testing frameworks and model validation techniques• Proficiency in Python, Java, or similar scripting languagesPython, Java, or similar scripting languages• Experience with automation tools like Selenium or PyTest is a plusSelenium or PyTest• Strong analytical, problem-solving, and documentation skillsPreferred Qualifications:Preferred Qualifications:• BE / BTech / MCA• Experience with AI models, NLP applications, or generative AI platformsAI models, NLP applications, or generative AI platforms• Knowledge of AI ethics and responsible AI testing practicesAI ethics and responsible AI testing practicesAt Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.Indium do not solicit or accept any form of fees or payment at any stage of the hiring process.At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. 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