Generative AI Engineer

Overview

• Design, engineer, and deploy production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic architectures
• Build, maintain, and scale backend services, microservices, APIs, and SDKs that power enterprise AI applications
• Own end-to-end AI solution engineering from architecture design through deployment and operational support
• Implement AI Ops and DevOps best practices, including CI/CD pipelines, automated testing, deployment, monitoring, and system optimisation
• Develop and maintain cloud and hybrid AI infrastructure (AWS or equivalent), ensuring scalability, reliability, and security
• Partner with product, data science, and business teams to translate functional requirements into robust technical implementations
• Ensure AI platforms and services comply with enterprise risk, security, and governance standards
• Conduct technical design reviews, identif...