Global IT QA Software Engineer Senior Manager – Gen AI/ LLM
Karkidi - Boston
Work at Karkidi
Overview
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Overview
Developing comprehensive test plans Implementing advanced testing methodologies Identifying and resolving defects Collaborating with cross-functional teams Ensuring AI model performance and reliability Analyzing model performance metrics Providing feedback for continuous improvement Staying updated on AI technology advancements Applying strong technical expertise in AI/ML/LLMs Utilizing programming and testing tools Managing quality engineering strategies Overseeing successful AI/ML/LLM solution deployment Communicating effectively with stakeholders Problem-solving and critical thinking Project management Understanding AI/ML/LLM model standards and requirements Conducting risk assessments Enhancing testing frameworks Maintaining high standards of AI/ML/LLM model accuracy and performance YOU BRING (EXPERIENCE & QUALIFICATIONS)
Bachelor’s degree in computer science, Engineering, or a related field Extensive experience in quality engineering or software testing Proven experience in testing Gen AI, LLMs, Artificial Intelligence, Machine Learning, or Natural Language Processing based systems for scale and robustness. Strong background in AI and machine learning Proficiency in programming languages (e.g., Python, Java) Experience with AI/ML/LLM testing tools and frameworks e.g. DeepEval or equivalent. Solid understanding of AI model development and deployment Proven leadership and team management skills Excellent problem-solving and analytical abilities Strong communication and collaboration skills Knowledge of industry standards and best practices in AI/LLM quality engineering Experience with performance and reliability testing YOU'LL WORK WITH BCG’s information technology group collaboratively delivers the latest digital technologies that enable our consultants to lead and our business to grow. For our IT jobs, we seek individuals with expertise in the areas of IT infrastructure, application development, business systems, collaborative and social technologies, information security, and project leadership.
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