AI Platform Engineer

Scurri•Wexford Township, MI

3d•Onsite

About The Position

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 CTO, 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.

Requirements

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.
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.

Nice To Haves

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.

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.