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We are looking for a LLM Engineer to build retrieval-augmented generation features for production. You will evaluate and improve LLM output quality systematically, and optimise inference cost and latency. Required: hands-on experience with Prompt engineering, RAG pipelines, Vector databases, Fine-tuning, and working knowledge of OpenAI API, LangChain, Pinecone. Preferred: DeepLearning.AI certifications. Success in this role is measured by answer accuracy, latency per request, cost per 1k requests.