Lead AI Engineer We are looking for a visionary and experienced technology leader to spearhead the development, deployment, and optimization of our artificial intelligence platforms. This role is part of an innovative project with international collaboration and cutting-edge technology. Spearhead the design, deployment, and scaling of AI systems in production environments. Create and manage cloud-native infrastructure across AWS and Azure, focusing on performance, security, and reliability. Oversee the full lifecycle of AI systems, including DevOps/MLOps practices, automation, and monitoring. Implement infrastructure as code using Terraform, containerization with Docker, and orchestration via Kubernetes. Collaborate cross-functionally with data science, engineering, and product teams to ensure systems align with business objectives. Evaluate and integrate tools for Large Language Models (LLMs), including frameworks like LLaMa or similar technologies. Requirements 8+ years of experience in engineering roles, with at least 3 years in technical leadership or director-level positions. Proven experience deploying AI systems in production environments at scale. Deep knowledge of cloud platforms (AWS and Azure) and cloud-native architectures. Strong background in SaaS environments and distributed systems. Expertise in Docker, Kubernetes, and Terraform. Solid understanding of DevOps/MLOps pipelines and best practices. Familiarity with LLMs and experience working with related tooling (e.g., LLaMa or similar). Excellent communication and leadership skills. Minimum C1 level of English (spoken and written) required. Bonus Points: Experience with large-scale data processing, data visualization, and natural language processing techniques. #J-18808-Ljbffr