AI Platform Engineer

Scurri Ltd; Wexford; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Company pension

Health scheme

Snacks

Cycle to work

Company socials

Training

Volunteer time

Modern offices

Job summary

Scurri Ltd is seeking a self-driven AI Platform Engineer to lead the design, delivery, and adoption of AI-powered automations across Scurri.

Reporting to the COO, you will work cross-departmentally to identify automation opportunities and build solutions using modern AI models and workflow platforms, ensuring the owning teams can maintain and extend what is delivered.

Qualifications

• Proven track record shipping AI-driven automations in a production environment.
• Ability to map business processes to automation workflows and create technical schemas.
• Experience integrating LLMs (Claude, Gemini, OpenAI) into workflows.

Responsibilities

• Partner with stakeholders to scope real-world problems into automation projects.
• Design, build, and deploy end-to-end automation workflows and AI-powered agents.
• Integrate LLMs into internal workflows for classification, summarisation and decision support.
• Document workflows and run enablement sessions so teams own their automations.

Skills

Automation platforms

Backend development

Applied AI/LLMs

APIs & integrations

Process mapping

Self-direction

Communication

Cross-functional collaboration

Git

Vector databases

Agent architectures

Cloud infrastructure

Data privacy tooling

Education

Higher education qualification

Tools

n8n

Zapier

Make

Git

Docker

AWS

Vector databases

Job description

AI Platform Engineer

Application Deadline: 30 September 2026

Department: Software Engineering

Employment Type: Permanent - Full Time

Location: Wexford

Description

Scurri is seeking a self-driven AI Platform Engineer to lead the design, delivery, and adoption of AI-powered automations across Scurri.

Reporting to the COO, you will work cross-departmentally to identify opportunities for automation and build solutions using modern AI models and workflow platforms. This role goes beyond simply shipping automations: for every project, you will work alongside the people who will own it day-to-day, so that once a solution is live, the department itself is equipped to maintain and extend it, with you available for escalations rather than routine maintenance.

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.

Essential Requirements

• 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

At Scurri we feel it’s important to hire highly motivated and talented people, make sure they are looked after and to give them the tools and the freedom to get things done.

We provide an open and positive work environment while ensuring our employees have the work/life balance they need. Work is not only challenging but interesting and rewarding as well.

We encourage employees to grow and develop throughout their career. Additionally, we definitely like to have fun as well.

Our main requirement is that you follow our values and focus on the mission. For the second year in a row, we are proud to be recognised as a "Great Place to Work"

• 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

Scurri manages all recruitment internally. We do not accept unsolicited CVs from agencies or headhunters and will not honour any resulting claims for fees. In relation to the AI Platform Engineer role, we have not authorised third parties to represent themselves to candidates as being connected to or working on our behalf at this time.