AI Engineer Enterprise Knowledge Base (EKB) Role Overview We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade AI solutions that enhance knowledge discovery, retrieval, and automation. The ideal candidate will have strong expertise in Generative AI , Large Language Models (LLMs) , AI Agents , and modern AI application frameworks, with a passion for delivering scalable, production-ready solutions. Key Responsibilities Design and develop AI-powered applications using GenAI , LLMs , NLP , and Agentic AI technologies. Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases . Develop and orchestrate AI Agents and Multi-Agent Systems to automate complex business workflows. Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. Implement AI solutions using frameworks such as LangChain , LangGraph , and MCP . Integrate AI services and enterprise platforms through REST APIs and cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies Preferred Experience Experience designing and implementing Enterprise Knowledge Bases (EKBs) , AI-powered enterprise search, knowledge management, or intelligent retrieval platforms. Experience delivering AI solutions from prototyping through to production deployment in enterprise environments. TPBN1_UKTJ
AI Engineer employer: MCGREGOR BOYALL ASSOCIATES LIMITED
As a Senior Network Security Engineer at our global financial services firm, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer competitive benefits, ongoing professional development opportunities, and the chance to work with cutting-edge technologies in a supportive environment that values your expertise and contributions. Join us to be part of a team that is dedicated to delivering secure and resilient network solutions while fostering your career growth.
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MCGREGOR BOYALL ASSOCIATES LIMITED Recruitment Team
