AI EngineerSalary: Up to £85,000 + BenefitsLocation: Hybrid - 3 days per week onsite in LondonWorking Hours: Full time - Monday to FridayA globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value.The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives.Responsibilities for the AI Engineer:Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelinesBuild, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-readyDeliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirementsIntegrate AI systems with existing enterprise platforms ensuring stability and seamless operationCollaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer:Strong proficiency in Python with extensive experience using AI, ML and NLP librariesHands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluationPractical experience with core Generative AI frameworks and agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering full-stack AI or ML systems within enterprise environmentsStrong understanding of advanced agent architectures, reasoning systems and autonomous workflowsExcellent communication and stakeholder management capabilityExperience supporting proposals, client-facing discussions or technical presentationsIf you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence
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