• Design and implement efficient and scalable pipelines for data ingestion, processing, and transformation, tailored for Generative AI workloads. • Orchestrate the flow of data between various AI services, databases, and backend systems within the Generative AI context. • Build and maintain CI/CD pipelines for deploying and updating Generative AI services and pipelines. • Develop and manage systems for ingesting diverse data sources (text, images, code, etc.) used in Generative AI applications. • Implement OCR and other preprocessing techniques to prepare data for use in Generative AI pipelines. • Ensure data quality, consistency, and security throughout the ingestion process. • Integrate and manage external AI services (e.g., cloud-based APIs for image generation, text generation, LLMs) into our Generative AI applications. • Develop and maintain APIs for seamless communication between AI services and backend systems. • Monitor and optimize the performance of integrated AI services within the Generative AI pipeline. • Design and implement RAG pipelines to enhance Generative AI capabilities with external knowledge sources. • Develop and optimize data retrieval and indexing strategies for RAG systems used in conjunction with Generative AI. • Analyze and debug LLM outputs to ensure quality and consistency in Generative AI applications. • Design, develop, and maintain backend services that support Generative AI applications. • Ensure the scalability, reliability, and security of backend infrastructure for Generative AI workloads. • Implement monitoring and logging systems for backend services and pipelines supporting Generative AI. • Troubleshoot and resolve backend-related issues impacting Generative AI applications.