The AI Engineer requires hands-on expertise in developing and deploying Large Language Models, Retrieval Augmented Generation pipelines, and Machine Learning models that support automation, incident analysis, and operational eciency. The AI Engineer must demonstrate the ability to design end-to-end AI workflows, configure vector databases, implement chunking strategies for retrieval, and build ML models that detect anomalies in logs and system events. The capability includes strong proficiency in Python, model lifecycle management, prompt engineering, responsible AI practices, and integrating AI components into production environments. Job Description: Build LLM modules for RCA, Incident Summaries, correlation logic, and remediation workflows using operational data sources such as SOPs, ELK logs, and ServiceNow tickets. Develop machine learning models to detect anomalies in system and infrastructure logs. Integrate AI solutions with existing platforms to enhance monitoring, reporting, ...