LLMOps Engineer

Title: Senior LLMOps Engineer Engagement Type: FTE Grade: 7 Location: REMOTE Note: This Position Is Not Eligible For Immigration Sponsorship At This Time. Primary Responsibilities: Design, develop, and deploy AI solutions leveraging cutting-edge tools, frameworks, and best practices. Fine-tune and deploy Large Language Models (LLMs) such as OpenAI and Azure-based services to deliver scalable AI applications. Implement and optimize Retrieval-Augmented Generation (RAG) architectures, leveraging vector databases for efficient data retrieval. Write clean, maintainable Python code following software development best practices, including GIT workflows, code reviews, and CI/CD pipelines. Collaborate with cross-functional teams to integrate AI solutions with existing data engineering pipelines and cloud infrastructure. Build and manage containerized AI applications using Docker and Kubernetes for scalability and reproducibility. Leverage Azure services for deploying, monitoring, and scaling AI applications in the cloud. Required Qualifications: Strong proficiency in Python programming with a deep understanding of the software development lifecycle. Expertise in working with LLMs, including fine-tuning, prompt engineering, and deployment. Hands-on experience with RAG architectures and vector databases for knowledge retrieval. Familiarity with SQL Server and/or Snowflake for data storage and retrieval. Proficiency in Docker for containerization and Kubernetes for orchestration of containerized applications. Solid understanding of Azure services for deploying and managing AI applications. Preferred Qualifications: Experience with advanced optimization techniques for LLMs in production. Exposure to managing and deploying large-scale AI systems in cloud environments. Knowledge of best practices in logging, monitoring, and debugging AI workflows. Ability to collaborate effectively with data engineering teams for seamless integration of AI pipelines.