LLM Operations Engineer
Project Role Description : Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations.
Must have skills : Large Language Models (LLMs)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an LLM Operations Engineer, you will engage in the deployment and management of large language models using cloud-native services and tools. Your typical day will involve monitoring the performance of these models, addressing any operational challenges that arise, and ensuring that all activities comply with established security standards. You will collaborate with various teams to optimize processes and enhance the efficiency of AI operations, contributing to the overall success of the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the development and implementation of best practices for LLM operations. - Collaborate with cross-functional teams to identify and resolve operational issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-native services and tools. - Strong understanding of AI operational compliance and security standards. - Familiarity with performance monitoring tools and techniques. - Experience in troubleshooting and optimizing AI model performance. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required. Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization
Bengaluru
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