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Key Responsibilities Design and develop Generative AI solutions, including LLM-based applications Implement techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and fine‑tuning Develop and evaluate machine learning models across supervised, unsupervised, and NLP use cases Optimise model performance, reliability and cost efficiency for enterprise environments Data & Engineering Collaboration Work with structured and unstructured data sources (databases, APIs, documents, transcripts, logs) Collaborate with data engineers to support ingestion, preparation and transformation pipelines Ensure AI solutions are scalable, maintainable and aligned with software eng...