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 Dev Ops/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 Dev Ops/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