Artificial Intelligence Engineer

My client based in Co Westmeath is currently recruiting for an AI Engineer to join a growing company, this is a permanent role and mostly onsite. The AI Engineer is responsible for designing, developing, and implementing AI-powered applications, intelligent agents, and data-driven solutions that support automation and informed decision-making. This role combines software engineering, data engineering, and applied AI expertise to create scalable, secure, and production-ready solutions using large language models (LLMs), retrieval-augmented generation (RAG), and modern AI frameworks.

Responsibilities

• Design, develop, and maintain AI agents and agentic workflows to automate business processes and data-driven tasks.
• Build AI applications using LLMs, integrating external models and services while optimising prompts, context management, performance, and cost.
• Develop Retrieval-Augmented Generation (RAG) solutions, vector databases, and AI-powered data pipelines that combine structured and unstructured data.
• Build integrations using Model Context Protocol (MCP) and APIs to connect AI systems with enterprise applications, databases, and third-party services.
• Design, deploy, and maintain production-ready AI services, including monitoring, testing, observability, and performance optimisation.
• Implement AI evaluation frameworks to measure response quality, accuracy, latency, reliability, and cost efficiency.
• Apply MLOps/LLMOps best practices including version control, CI/CD, containerisation, and automated deployment.
• Ensure AI solutions meet security, governance, privacy, and responsible AI standards.
• Collaborate with software engineers, data engineers, data scientists, and business stakeholders to deliver AI-driven solutions.
• Produce and maintain technical documentation covering architecture, integrations, deployment, and operational processes.

Skills & Experience

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related discipline.
• 3+ years of experience in software engineering, data engineering, or AI/ML development with experience delivering production solutions.
• Strong Python development skills with experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic Claude, or similar.
• Experience with AI frameworks including LangChain, LangGraph, LlamaIndex, or equivalent.
• Knowledge of Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
• Experience with Azure AI services or other cloud AI platforms.
• Understanding of MLOps/LLMOps practices, Docker, CI/CD pipelines, and AI monitoring and evaluation.
• Strong understanding of AI security, governance, privacy, and responsible AI principles.
• Ability to translate business requirements into practical AI solutions and communicate effectively with both technical and non-technical stakeholders.