We are seeking an experienced Senior Full-Stack Engineer, Generative AI to design, build, and operate enterprise-grade AI-enabled solutions across our technology organization. This role is for a senior individual contributor who combines strong hands-on engineering skills with sound technical judgment and the ability to raise the quality of delivery within a team or domain.
You will work on complex, real-world problems, developing AI-enabled web applications across the full stack using modern frontend and backend technologies, Large Language Models (LLMs), and cloud infrastructure. You will play a key role in evolving solutions from early proof of concept through to scalable, production-ready systems used by internal and external stakeholders.
In this role, you are relied upon to ensure solutions meet enterprise standards for security, reliability, scalability, maintainability, and testability, and to help teams apply generative AI responsibly and effectively in production environments.
We will count on you to:
Lead the technical design and delivery of complex, AI-enabled features or services.
Design, build, and evolve full-stack applications using modern frontend and backend frameworks.
Build and maintain robust, high-performance APIs using NestJS / NodeJS or FastAPI / Python.
Integrate Large Language Model (LLM) capabilities into production systems, selecting appropriate patterns, tools, and architectures.
Guide the evolution of proofs of concept into production-ready, scalable solutions within enterprise constraints.
Own technical solutions end-to-end, including design, implementation, deployment, and operational readiness.
Make sound engineering decisions that balance security, scalability, reliability, maintainability, and testability.
Act as a hands-on engineer: write production code, review code, and contribute to testing and observability.
Champion strong engineering practices, including code quality, testing, CI/CD, and documentation.
Identify opportunities for reuse and contribute to shared components, patterns, and standards.
Collaborate closely with product, architecture, security, and platform teams in an Agile delivery environment.
Provide technical guidance and mentorship to other engineers through design discussions and example.
Contribute to continuous improvement of engineering practices within the team or domain.
What you need to have:
6+ years of professional software engineering experience, including building and operating production systems.
2+ years of hands-on experience working with Large Language Models (LLMs) in applied or production contexts.
Strong proficiency in a modern frontend framework, ideally React with TypeScript.
Deep hands-on experience with NodeJS / NestJS and/or Python (FastAPI or Django).
Strong understanding of API design, distributed systems, and service-oriented architectures.
Proven experience deploying, operating, and supporting systems in cloud environments.
Experience working in Agile delivery teams and collaborating across disciplines.
Strong communication skills, with the ability to explain technical concepts to a range of audiences.
Sound engineering judgment and a pragmatic, delivery-focused mindset.
What makes you stand out
Experience designing or implementing Retrieval-Augmented Generation (RAG) systems in applied or production contexts.
Experience evaluating and selecting GenAI frameworks or tools (e.g., LangChain, LangGraph, LlamaIndex, CrewAI) based on problem context.
Experience with AI agents, orchestration patterns, or workflow-based AI systems, including understanding when such approaches are appropriate.
Familiarity with prompt engineering, evaluation techniques, and guardrails for LLM-based systems.
Experience with cloud-native architectures, CI/CD pipelines, and infrastructure-as-code.
Understanding of security-driven design and how to address common application or platform vulnerabilities in enterprise systems.
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.
An opportunity to work in a fast-growing, innovative company with lots of room for progression and career growth;
A fail-friendly environment that encourages learning and initiative;
A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
30+ days off (25 legal days off , 1 extra day off on your birthday, public holiday replacement days, extra buy/sell from your benefits budget);
Performance Bonus scheme
Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
Core benefits - Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance;
We champion flexible working, and our mission is to help you find YOUR work-life balance, whether that's standard working, flex-time working, or working from home
Skills Required
- 6+ years of professional software engineering experience
- 2+ years of hands-on experience with Large Language Models (LLMs)
- Strong proficiency in React with TypeScript
- Deep hands-on experience with NodeJS/NestJS and/or Python (FastAPI or Django)
- Strong understanding of API design and distributed systems
- Proven experience deploying systems in cloud environments
- Experience in Agile teams
- Strong communication skills
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
-
Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
-
Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
-
Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.








