An incredible opportunity for Senior Applied AI Engineer to join a global AI Innovation and R&D team focused on building production-ready Generative and Agentic AI systems. This is a hands-on engineering role for someone who enjoys shipping real AI products and working at the intersection of software engineering, agentic workflows and applied GenAI.The roleDesign, build and own production-grade agentic AI systems end to endDevelop stateful, reliable agent workflows with planning, tool use, memory and human-in-the-loop controlsImplement advanced retrieval and grounding (hybrid search, reranking, context assembly)Build secure tool integrations and expose internal and external services to agentsTreat evaluation as an engineering discipline with regression tests, metrics and release gatesInstrument LLMOps and AgentOps for cost, latency, quality and failure monitoringOptimise systems for performance, cost and reliability across models and providersBuild and operate backend services (Python APIs, workflows, event-driven systems)Collaborate closely with data science, backend and delivery teams to ship scalable AI solutionsContribute to reusable components, documentation and applied innovation outputsExperience5+ years of experience in software engineering, applied ML or applied AIStrong Python skills and solid software engineering fundamentalsHands-on experience building and productionising LLM-powered applicationsPractical experience with agentic frameworks (e.g. LangChain, LlamaIndex, LangGraph, CrewAI or similar)Strong understanding of retrieval systems and vector databasesFamiliarity with agent patterns such as planning, tool use, ReAct and multi-agent systemsExperience deploying production services on cloud platforms (AWS, Azure or GCP)Comfortable with Docker, CI/CD and production operationsA strong delivery
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