AI Platform Engineer

Department: Software Engineering

Employment Type: Permanent - Full Time

Location: Wexford Town, Co Wexford, Wexford, Hybrid

Key Responsibilities

• Partner directly with stakeholders across departments to scope vague, real-world problems into concrete, actionable automation projects.
  
  
• Have the skills and ability to map “as is” workflows into business process maps and to create “to be” automation solutions and technical schemas to gain buy-in from relevant business process owners.
  
  
• Design, build, and deploy end-to-end automation workflows and AI-powered agents, using platforms such as n8n, Zapier, and Make alongside custom backend services.
  
  
• Integrate large language models (Claude, Gemini, OpenAI, or similar) into internal workflows to support tasks such as classification, summarisation, document processing, and decision support.
  
  
• Embedded with each department for the duration of a project, working with the people involved rather than working for them, so they build the skills to run and adapt what’s delivered.
  
  
• Document workflows and playbooks, and run hands-on enablement sessions so departmental teams become self-sufficient owners of their own automations.
  
  
• Establish a clear escalation path for automations that have been handed over, stepping back in only when an issue is beyond the owning team's ability to resolve.
  
  
• Manage your own project pipeline and priorities across multiple departments at once, balancing new builds, in-flight enablement, and escalation support.
  
  
• Monitor the performance, cost, and reliability of deployed automations and agents, iterating on model selection, prompt design, and error handling.
  
  
• Champion security and data-handling best practices across all automations, particularly where third-party AI providers and sensitive data are involved.
  
  
• Stay up to date with developments in the AI and automation space, evaluating new tools, frameworks, and providers for potential adoption.
  
  
• Feed reusable patterns, components, and learnings back into a shared knowledge base to accelerate future AI enablement work across the company.
  
  

Skills, Knowledge and Expertise

• Automation Platforms: Extensive, hands-on experience building and maintaining production-grade workflows in n8n, Zapier, and/or Make, including error handling, webhooks, and third-party API integrations.
• Backend Development: Strong proficiency in Python or Node.js, used to build custom scripts, services, and integrations beyond what no-code tools alone can handle.
• Applied AI/LLMs: A demonstrable track record of shipping projects that use AI models such as Claude, Gemini, or OpenAI to support real business automations, not just prototypes or demos.
• APIs & Integrations: Hands-on experience designing and consuming RESTful APIs, and connecting disparate SaaS and internal systems.
• Business process mapping and workflow analysis.
• Self-Direction: Proven ability to scope ambiguous problems, define a plan, and manage your own project delivery with minimal day-to-day oversight.
• Communication & Enablement: Strong ability to explain technical concepts to non-technical audiences, document clearly, and train others hands-on.
• Cross-Functional Collaboration: Comfortable working directly with stakeholders across departments to translate business needs into technical solutions.
• Version Control: Solid understanding of Git.
• Vector Databases & RAG: Experience integrating retrieval-augmented generation pipelines into automation workflows.
• Agent Architectures & MCP: Familiarity with Model Context Protocol (MCP) or similar universal tool-calling/agent architectures.
• Cloud Infrastructure: Prior experience with AWS, including deploying and maintaining self-hosted automation infrastructure (Docker, EC2, or similar).
• Data Privacy Tooling: Familiarity with anonymisation or PII-handling tools within automation pipelines.

• Experience: At least 3 years of experience in an AI Platform Engineer position, preferably in a B2B SaaS environment.
• Education: A recognised third-level qualification (minimum).
• Mobility: A full, clean, valid driver’s licence and the ability and willingness to travel freely within Ireland, the UK, EU and US often at short notice—for client meetings, workshops, and key industry events.
• EU & UK Work Eligibility: Must possess and maintain full legal working rights and permits to work in Ireland/EU and the United Kingdom.
• US Entry Authorization: Must be eligible to obtain and maintain an active US ESTA visa waiver (or equivalent business visa) for international business travel to the United States.
• Agile Mindset: Experience working in (and a love for) Agile or Lean environments.
  
  

Benefits

• Company pension - Matched employer contribution
• Company Health Scheme - VHI
• Snacks - Tea, coffee fruit, ice cream and other surprises to keep you fuelled
• Cycle to work scheme
• Annual company day, regular all-company socials
• Social Club - Camping, Kayaking, nights out etc
• Ongoing Training
• Paid volunteer time
• Ultra-modern offices and facilities