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A London-based organisation is looking to bring on an AI Engineer to help develop next-generation intelligent systems powered by advanced RAG (Retrieval-Augmented Generation) and agentic AI approaches. This role offers the chance to work on impactful, real-world applications at the intersection of modern AI and robust software engineering.
Job Responsibility:
Design and implement advanced RAG pipelines with hybrid search, re-ranking, and optimised retrieval strategies
Build and deploy conversational AI agents with robust multi-turn dialogue and contextual memory
Develop end-to-end voice AI systems integrating STT, TTS, and real-time audio processing
Optimise LLM performance through fine-tuning, prompt engineering, and evaluation frameworks
Architect scalable AI infrastructure, including model serving, monitoring, and observability in production environments
Requirements:
Experience working on complex, high-impact AI systems spanning conversational AI, agentic workflows, and voice applications
Strong focus on production-grade engineering, scalability, and real-time performance
Experience collaborating with cross-functional teams including architecture, security, and data governance
Exposure to modern AI tooling, LLM frameworks, and cloud-native infrastructure
Ability to experiment with emerging AI techniques and influence technical direction