Excited by the pace of AI and the chance to build something meaningful? Join our growing Innovation team in Dublin and help create next-generation applications using the latest tools, technologies, and ideas. AI is a huge part of what we do — but we’re an innovation team first, applying whatever emerging technology best solves the problem, from LLMs to data, integration, and automation.
You’ll work alongside experienced and curious colleagues in a collaborative environment that encourages exploration, learning, and shared problem-solving. With strong support from senior leaders and visibility across the business, the team is well placed to develop, test, and scale new solutions. Your work will be visible, valued, and connected to key priorities from day one.
This is a hybrid position with a requirement of 3 days in the office.
THE ROLE & YOUR MISSION
This is an opportunity to grow as an engineer while building, testing, and scaling solutions that make a real difference. As a mid-level member of the team, you’ll take ownership of features and components end to end, turning ideas into practical applications that address real business and client needs — with AI and LLMs the biggest part of the toolkit, alongside data, integration, and automation. Alongside hands-on engineering, you’ll help shape our innovation hub by contributing to hackathons, engaging with the broader tech community, and supporting a culture centered on experimentation, learning, collaboration, and results.
WHAT YOU'LL DO
Own medium-scale features and components end to end, from prototyping through to production-ready solutions, with senior guidance available when you need it
Contribute to design discussions, bringing sound technical reasoning and viable suggestions to the table
Build practical applications — AI-powered and otherwise — that address real business problems and deliver measurable value
Work closely with colleagues across our Dublin and international Innovation teams, while taking initiative and contributing your own ideas
Work in an Agile environment where you can experiment, learn quickly, and see the impact of your work
Stay hands-on with the latest AI tools, models, and techniques, with ongoing opportunities to learn, test, and evolve
Build and maintain evaluation harnesses and follow good practice in prompt engineering, experimentation, and solution design
Create reusable components, tools, and patterns that help the wider team work more effectively and consistently
Share what you learn, support technical quality, and help junior colleagues grow through code reviews and pairing
WHY YOU'LL LOVE IT
This is a chance to accelerate your career in a team that’s growing quickly and working with purpose. You’ll own meaningful work, explore the latest technologies, and develop your craft while helping shape how we build. With strong leadership support, visibility across the business, and access to the resources of a global organization, you’ll have the platform to make a genuine impact while continuing to grow. And you’ll do it from Dublin, one of Europe’s most dynamic and well-connected tech hubs.
What you need to have:
Solid software engineering experience (typically 2–5 years), with a track record of delivering features independently
Experience contributing to production-grade applications
Hands-on experience with modern JavaScript/TypeScript development, including a framework such as React, Vue, or Angular
Backend experience with Node.js, NestJS, or similar technologies
Experience using Python to build AI-powered workflows, integrations, or applications
Good understanding of APIs and integrating AI into real-world products and business processes
Hands-on experience building with LLMs, including prompt design, tool use, and structured outputs
Familiarity with RAG, retrieval pipelines, and embeddings
Exposure to modern agent patterns and multi-step, tool-connected workflows
Working knowledge of AWS and Kubernetes, and an interest in how AI applications are deployed and scaled
Good communication skills, a practical and thoughtful approach to problem-solving, and the ability to work across engineering and business teams
What makes you stand out:
Experience taking features from early experimentation through to production use
Curiosity about emerging standards in the agent ecosystem, including Model Context Protocol (MCP)
Exposure to vector databases and semantic search
An eye for the quality, reliability, latency, and cost-efficiency of AI systems
Exposure to AI evaluation frameworks, testing approaches, and guardrails for reliable and responsible AI
A willingness to support others and contribute to engineering best practices
We know that candidates may not meet every listed requirement exactly. If you’re excited about the role and believe you could thrive in it, we encourage you to apply.
Why join our team:
#MMCIC