AI Engineer
On-siteAn Muileann gCearr, Leinster, Ireland
Job Summary
Design and maintain AI agents and agentic workflows that automate data processing, analysis, and reporting within production-grade systems. Integrate and manage LLM APIs including OpenAI, Azure OpenAI, and Anthropic Claude while optimizing solutions for performance, latency, and cost. Build and operate Retrieval-Augmented Generation (RAG) solutions across proprietary datasets using vector databases and knowledge retrieval systems. Develop intelligent data pipelines leveraging both structured and unstructured sources, and connect AI agents securely to internal systems via Model Context Protocol (MCP). Create monitoring frameworks to measure accuracy and reliability, implementing responsible AI controls including guardrails and auditability. Partner with data scientists and engineers to deliver integrated solutions that drive efficiency across the Analytics Lab.
Required Qualifications
- 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
- Experience integrating LLM platforms such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent
- Hands-on knowledge of frameworks including LangChain, LlamaIndex, LangGraph or similar
- Experience designing and operating RAG architectures and vector database solutions
- Understanding of Model Context Protocol (MCP) and integrating AI agents with enterprise systems
- Knowledge of MLOps/LLMOps practices and tools including Docker, CI/CD pipelines and model lifecycle management
- Experience with AI observability, evaluation frameworks and performance monitoring
- Familiarity with Azure AI services and cloud-native AI deployments
- Strong understanding of AI governance, security, privacy and responsible AI principles
- An independent, technically strong problem solver who takes ownership and delivers high-quality solutions
- Passionate about emerging AI technologies and eager to explore innovative approaches that create measurable business value
- Able to translate complex business challenges into practical AI-driven solutions
- A strong communicator who can engage confidently with technical and non-technical stakeholders alike
- Collaborative, adaptable and comfortable working in an Agile environment
Desired Qualifications
- Experience within Financial Services or General Insurance
- Exposure to enterprise-scale data platforms and analytics environments
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