Generative AI & Innovation Engineer (Hybrid, Dublin)

MMC Corporate; Ireland; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Marsh in Dublin is seeking a mid-level engineer to join the Innovation team, building, testing, and scaling AI-powered solutions. You will own features end-to-end, from idea to production, using LLMs, data, integration, and automation.

You'll collaborate across Dublin and international teams, contribute to hackathons, and help shape a culture of experimentation, learning, and results while working in a hybrid setup with three days in the office.

Qualifications

• 2–5 years of solid software engineering experience.
• Experience delivering production-grade applications.
• Hands-on with modern JS frameworks (React/Vue/Angular) and backend Node.js.

Responsibilities

• Own medium-scale features end to end from prototyping through to production-ready solutions.
• Contribute to design discussions with technical reasoning and viable suggestions.
• Build AI-powered applications that address real business problems and deliver measurable value.
• Work closely with Dublin and international Innovation teams, contributing ideas.
• Work in an Agile environment where you can experiment, learn quickly, and see impact.
• Stay hands-on with the latest AI tools, models, and techniques.
• Create reusable components, tools, and patterns for the wider team.
• Share learnings and support junior colleagues through code reviews and pairing.

Skills

Software engineering

JavaScript/TypeScript

React/Vue/Angular

Node.js/NestJS

Python for AI

APIs & integration

LLMs & AI tooling

AWS & Kubernetes

Communication skills

Team collaboration

Job description

Marsh in Dublin is seeking a mid-level engineer to join the Innovation team, building, testing, and scaling AI-powered solutions. You will own features end-to-end, from idea to production, using LLMs, data, integration, and automation.

You'll collaborate across Dublin and international teams, contribute to hackathons, and help shape a culture of experimentation, learning, and results while working in a hybrid setup with three days in the office.