LLM Operations Engineer

About the Role

As an LLM Operations Engineer, you will leverage cloud-native platforms and tools to deploy large language models in a scalable and efficient manner. The role includes continuous monitoring of model performance to identify and resolve operational issues promptly. Ensuring that all AI operations adhere to established compliance and security protocols is a key focus. Collaboration with cross-functional teams to maintain smooth and reliable AI services forms an integral part of daily activities, alongside proactive management of system health and resource optimization to support evolving business needs.

Key Responsibilities

• Perform independently and become an SME.
• Actively participate and contribute in team discussions.
• Contribute in providing solutions to work-related problems.
• Collaborate with stakeholders to understand operational requirements and translate them into effective deployment strategies.
• Continuously evaluate and improve operational workflows to enhance system reliability and efficiency.
• Assist junior team members by sharing knowledge and providing guidance on best practices.
• Document operational procedures and incident reports to support knowledge sharing and compliance.

Requirements & Tech Stack

• Experience with cloud-native services and infrastructure for deploying and managing AI models.
• Strong understanding of monitoring tools and techniques to track model performance and system health.
• Familiarity with security and compliance standards relevant to AI operations.
• Ability to troubleshoot and resolve operational challenges in a timely manner.

Qualifications

• Large Language Models (LLMs)
• Prompt Engineering
• Generative AI
• A 15 years full time education is required.