Artificial Intelligence Engineer

GCS

Leinster

On-site

EUR 80,000 - 120,000

Full time

2 days ago
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Job summary

GCS is seeking an AI Engineer for a permanent position based in Co Westmeath, Ireland. This hands-on role blends software engineering, data engineering and applied AI to design, build and run AI-powered applications, intelligent agents and data-driven solutions that automate work and support better decision-making.

This is a work-and-build role using LLMs, RAG and modern AI frameworks to turn proprietary data into automated insights and actions.

Qualifications

  • Degree in Computer Science, Data Science, Software Engineering or a related discipline.
  • 3+ years in software engineering, data engineering or AI/ML development with production delivery.
  • Strong Python and experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic).
  • Experience with LangChain, LlamaIndex or equivalent.
  • Knowledge of MCP, RAG, vector DBs, embeddings and prompt engineering.
  • Experience with Azure AI or other cloud AI platforms and MLOps/LLMOps.
  • Understanding of AI security, governance and privacy; regulated industry experience is a plus.
  • Ability to translate business problems into practical AI solutions and document work clearly.

Responsibilities

  • Design, build and maintain AI agents and workflows that automate data processing, analysis and reporting.
  • Build LLM-powered applications, integrating external models while optimizing prompts, context, performance and cost.
  • Develop RAG solutions, vector databases and AI-driven data pipelines.
  • Create integrations using MCP and APIs to securely connect AI systems to internal databases and services.
  • Own AI features from prototype to production, including testing, monitoring and cost evaluation.
  • Apply MLOps/LLMOps best practices, including CI/CD, containerisation and automated deployment.
  • Put guardrails, access controls and audit trails around agents handling sensitive data.
  • Collaborate with data engineers, data scientists and business stakeholders and document technical work.

Skills

Python
LLM APIs
LangChain
RAG
MCP
Vector databases
Azure AI
MLOps
CI/CD
AI security

Education

Computer Science / Data Science / Software Eng degree

Tools

Docker
CI/CD tools
Cloud platforms

Job description

AI Engineer

Location: Co Westmeath, mostly on-site

Type: Permanent

Reports to: Engineering Lead

About the Role

My client, based in Co Westmeath, is a growing international business. They’re hiring a permanent AI Engineer to design, build and run AI-powered applications, intelligent agents and data-driven solutions that automate work and support better decision-making.

This is a hands-on role blending software engineering, data engineering and applied AI. You’ll build scalable, secure, production-ready solutions using LLMs, retrieval-augmented generation (RAG) and modern AI frameworks, and you’ll turn the company’s proprietary data into reliable, automated insight and action.

Key Responsibilities
  • Design, build and maintain AI agents and agentic workflows that automate data processing, analysis, reporting and wider business processes.
  • Build LLM-powered applications, integrating external models and services while optimising prompts, context management, performance and cost.
  • Develop RAG solutions, vector databases and AI-driven data pipelines that combine structured and unstructured data.
  • Build integrations using Model Context Protocol (MCP) and APIs to securely connect AI systems to internal databases, applications and third-party services.
  • Own AI features from prototype to production, including testing, monitoring, observability, safe rollback and evaluation of accuracy, latency, reliability and cost.
  • Apply MLOps/LLMOps best practice, including version control, CI/CD, containerisation and automated deployment.
  • Put guardrails, access controls and audit trails around agents working with sensitive data, in line with security, privacy and responsible AI standards.
  • Work with data engineers, data scientists and business stakeholders to turn business problems into practical AI solutions, and keep clear technical documentation.
Skills & Experience
  • Degree in Computer Science, Data Science, Software Engineering or a related discipline.
  • 3+ years in software engineering, data engineering or AI/ML development, with a track record of delivering production solutions.
  • Strong Python, with hands-on experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude or similar) and AI frameworks such as LangChain, LlamaIndex or equivalent.
  • Working knowledge of MCP, RAG, vector databases, embeddings and system-level prompt engineering.
  • Experience with Azure AI or other cloud AI platforms, plus MLOps/LLMOps practices, Docker and CI/CD.
  • Solid grasp of AI security, governance, privacy and responsible AI. Experience in a regulated industry is desirable.
  • Ability to translate business requirements into practical AI solutions.
The Person
  • A self-directed technical expert who can work on their own initiative and deliver best-practice AI that supports the team’s goals.
  • Curious and pragmatic, keeping pace with a fast-moving AI landscape and recommending new tools only where they add real business value.
  • A strong relationship builder who communicates clearly with both technical and non-technical stakeholders.
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