Job Description

Responsibilities



  • 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 stan...

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