Job Opportunities API

Join The Ardonagh Analytics Lab and help shape the future of AI-powered insurance intelligence. The Ardonagh Analytics Lab is a fast-growing centre of excellence within The Ardonagh Group, one of the world’s leading independent insurance distribution platforms. Based in Mullingar, Co. Westmeath, the Lab delivers data-driven insights to clients around the globe and supports more than 12,000 colleagues in providing tailored insurance solutions across a diverse range of products and services. Our mission is to unlock the full value of data—building deeper understanding of risk, anticipating future outcomes, and empowering better decision-making across the insurance value chain. As we expand our AI capabilities, we're looking for an innovative AI Engineer to help design and deliver the next generation of intelligent systems. The Opportunity As an AI Engineer , you will play a pivotal role in designing, building and operating production-grade AI solutions that transform data into actionable insight. You'll work at the intersection of software engineering, data engineering and applied AI, developing AI agents, LLM-powered applications and intelligent data pipelines that solve real business challenges. This is an exciting opportunity to work with cutting-edge technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Model Context Protocol (MCP), MLOps/LLMOps , and cloud-based AI services. What You'll Be Doing AI Agents & Agentic Workflows Design, build and maintain AI agents and agentic workflows that automate data processing, analysis and reporting. Develop orchestration frameworks enabling tool use, reasoning and workflow automation. Build intelligent solutions that drive efficiency and business value across the Analytics Lab. AI Platforms & LLM Integration Integrate and manage LLM APIs including OpenAI, Azure OpenAI, Anthropic Claude and similar platforms. Design prompt frameworks, context management strategies and scalable AI architectures. Optimise AI solutions for performance, reliability, latency and cost. RAG & Knowledge Systems Design and maintain Retrieval-Augmented Generation (RAG) solutions across proprietary datasets. Build and operate vector databases and knowledge retrieval systems to deliver accurate, grounded AI outputs. Develop AI-powered data pipelines leveraging both structured and unstructured data sources. MCP & Systems Integration Build and integrate Model Context Protocol (MCP) servers and tools. Connect AI agents securely to internal systems, databases and third-party platforms. Ensure standardised, governed and scalable integrations across the AI ecosystem. AI Evaluation, Governance & Operations Create monitoring and evaluation frameworks to measure accuracy, latency, reliability and hallucination rates. Implement responsible AI controls including guardrails, access controls, auditability and security measures. Apply MLOps and LLMOps best practices including version control, CI/CD, testing and containerisation. Collaboration & Innovation Partner with Data Scientists, Data Engineers and Platform Engineers to deliver integrated solutions. Work with business stakeholders to identify opportunities for AI-driven automation and innovation. Contribute to technical documentation, architecture designs, evaluation reports and operational best practices. What We're Looking For Essential Experience Bachelor's degree in Computer Science, Data Science or a related discipline. 3+ years' experience in software engineering, data engineering or AI engineering roles. Proven experience building and deploying AI, ML or LLM-powered applications into production environments. Strong Python development skills. Technical Expertise Experience integrating LLM platforms such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent. Hands-on knowledge of frameworks including LangChai