Company:
Marsh

Description:

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:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

#MMCIC

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at reasonableaccommodations@marsh.com to discuss any specific needs.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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