Senior Conversational AI Specialist

21 hours ago


bangalore, India beBeeConversational Full time

AI Engineer for Conversational AI SolutionsWe are seeking an experienced AI engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of conversational AI.In this role, you will design, develop and deploy scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and prompt engineering techniques to power intelligent products and services.Design, fine-tune and deploy LLM-based applications for conversational AI use casesBuild scalable retrieval-augmented generation pipelines that combine LLMs with structured/unstructured data sourcesDevelop prompt engineering strategies, templates and evaluation frameworks for LLM-driven workflowsCollaborate with cross-functional teams to identify and implement AI-driven solutions to business problemsOptimize models for low-latency inference using quantization, distillation and other model optimization techniquesBuild robust data processing, labeling and augmentation pipelines to improve model performanceImplement monitoring and evaluation systems for deployed LLMs ensuring reliability, fairness and safetyRequirements:5-8 years of hands-on experience in NLUStrong proficiency in Python and PyTorch and related frameworksProven experience developing and deploying NLP or LLM pipelines in production environments at scaleSolid understanding of transformer architectures and attention mechanismsProficiency in using LLM provider APIs including prompt design, fine-tuning and evaluationExperience with model optimization techniques such as quantization, pruning, ONNX, TensorRT or model distillationBachelor's or Master's degree in Computer Science, Artificial Intelligence or a related fieldNice to Have:Hands-on experience with RAG and vector databasesPrior work on LLM fine-tuning alignment or evaluationExperience with LLM orchestration frameworksFamiliarity with multi-provider LLM orchestrationKnowledge of MLOps for LLMs


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