Data Engineer - Agentic AI & LLM

Job Description : We are seeking a Data Engineer with expertise in Agentic AI and Large Language Models (LLMs) to build and optimize data pipelines that support advanced AI applications. The ideal candidate will have strong experience in data engineering, AI/ML ecosystems, and scalable cloud-based architectures. Key Responsibilities : - Design and develop scalable data pipelines for AI and LLM workloads. - Build and maintain data infrastructure supporting Agentic AI applications. - Integrate structured and unstructured data sources for model training and inference. - Collaborate with AI/ML teams to support LLM deployment and optimization. - Ensure data quality, governance, and performance across platforms. - Implement scalable data processing and orchestration frameworks. - Monitor and optimize data workflows in cloud environments. Required Skills : - Strong experience in Data Engineering and ETL development. - Hands-on expertise with Agentic AI frameworks and LLM ecosystems. - Experience with Python and data processing technologies. - Knowledge of vector databases, embeddings, and RAG architectures. - Exposure to cloud platforms and modern data architectures. - Strong understanding of data modeling and distributed systems. - Excellent analytical and problem-solving skills. Job Description : We are seeking a Data Engineer with expertise in Agentic AI and Large Language Models (LLMs) to build and optimize data pipelines that support advanced AI applications. The ideal candidate will have strong experience in data engineering, AI/ML ecosystems, and scalable cloud-based architectures. Key Responsibilities : - Design and develop scalable data pipelines for AI and LLM workloads. - Build and maintain data infrastructure supporting Agentic AI applications. - Integrate structured and unstructured data sources for model training and inference. - Collaborate with AI/ML teams to support LLM deployment and optimization. - Ensure data quality, governance, and performance across platforms. - Implement scalable data processing and orchestration frameworks. - Monitor and optimize data workflows in cloud environments. Required Skills : - Strong experience in Data Engineering and ETL development. - Hands-on expertise with Agentic AI frameworks and LLM ecosystems. - Experience with Python and data processing technologies. - Knowledge of vector databases, embeddings, and RAG architectures. - Exposure to cloud platforms and modern data architectures. - Strong understanding of data modeling and distributed systems. - Excellent analytical and problem-solving skills.