AI Engineer

AI Engineer

No working from home possible
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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.

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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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Contact Details:

MCGREGOR BOYALL ASSOCIATES LIMITED Recruitment Team