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  "job_description": "AI Engineer (Agentic RAG & LLM Systems)\n\nLocation: London\n\nLevel: Mid–Senior\n\nStart: ASAP\n\nWe are hiring an AI engineer to help build and own our in-house agentic RAG framework, reducing reliance on external AI consultancies and delivering production-grade AI solutions across the business.\n\nThis is not a generic data science role. Strong AI fundamentals and real-world engineering experience are essential.\n\nRole Overview\n\nMaintain and extend large, coded AI solutions\n\nDesign and build advanced agentic RAG systems for document intelligence\n\nRapidly develop proofs of concept using AI-assisted development\n\nEvaluate AI vendors and support buy-versus-build decisions\n\nDeliver actionable insights to CIO, research, and operations teams\n\nRequirements\n\nAI-focused Computer Science degree (Bachelor’s or Master’s); formal AI study required\n\n3+ years professional experience, including production ML systems\n\nStrong understanding of AI algorithms, model types, and limitations\n\nHands-on experience with:\n• Vector databases (Quadrant preferred)\n• LangChain and/or LlamaIndex\n• Advanced Python\n• Agentic RAG architectures\n• Azure AI tools (or ability to learn quickly)\n\nNice to have: Deep learning, NLP, computer vision, reinforcement learning, generative AI, backend APIs, AI-assisted development tools.\n\nCandidate Profile\n\nResilient, driven, and solution-oriented\n\nComfortable working at high pace and under pressure\n\nGenuinely passionate about AI and continuous learning",
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