
Real job — pulled straight from Marsh McLennan’s careers page · Verified July 15, 2026 · No reposts.
Job description
Marsh McLennan is hiring a Full-Stack Engineer, Generative AI — a full-time, based in Mexico City, DF role. Apply directly on Marsh McLennan's careers page below.
Junior Full-Stack Engineer
Location: Mexico City - Paseo
Remote Type: Hybrid
Time Type: Full time
Job Description
Company:
MarshDescription:
Junior Full-Stack Engineer
We are seeking a Junior Full-Stack Engineer, Generative AI to join our technology organization and contribute to the development of enterprise-grade, AI-enabled applications. This role will be based in México city. This is a hybrid role that has a requirement of working at least three days a week in the office. This role is designed for early-career engineers who are eager to grow their full-stack skills while gaining hands-on experience with applied generative AI in real-world systems.
You will work as part of a collaborative engineering team, contributing to the design, development, and operation of AI-enabled web applications using modern frontend and backend technologies, Large Language Models (LLMs), and cloud infrastructure. You will be supported by more experienced engineers and will grow your skills through hands-on delivery, feedback, and mentorship.
In this role, you will learn how enterprise software is built, deployed, and maintained, while applying generative AI responsibly within established engineering standards and practices.
We will count on you to:
- Contribute to the development and maintenance of full-stack web applications under the guidance of more experienced engineers.
- Implement frontend features using React with TypeScript (or similar frameworks).
- Support the development of backend services and APIs using NodeJS / NestJS or Python (FastAPI / Django).
- Assist with integrating LLM-based capabilities into applications using established patterns and guidance.
- Help evolve proofs of concept into stable, production-ready features within defined scope.
- Write clean, readable, and well-tested code following established engineering standards.
- Participate in code reviews, learning from feedback and improving code quality over time.
- Support deployment and operation of applications on cloud infrastructure (e.g., AWS) with guidance.
- Work with SQL and NoSQL data stores under direction.
- Collaborate with teammates in an Agile delivery environment, participating in stand-ups, sprint planning, and retrospectives.
- Demonstrate curiosity, a willingness to learn, and openness to feedback.
What you need to have:
- Bachelor’s degree (or equivalent) in computer science, information technology, or mathematics.
- 1 - 2 years of professional software engineering experience, or equivalent experience through internships, placements, or relevant projects.
- Foundational knowledge of JavaScript / TypeScript and at least one modern frontend framework (React preferred).
- Basic experience with backend development using NodeJS or Python.
- Familiarity with RESTful APIs and client-server concepts.
- Exposure to cloud-based systems or interest in learning cloud technologies.
- Basic understanding of Agile development practices.
- Interest in generative AI and how LLMs can be applied in software systems.
- Strong communication skills and a collaborative mindset.
What makes you stand out:
- Hands-on experimentation with LLMs through APIs or tooling. (prefer)
- Familiarity with concepts such as prompting, basic evaluation, or simple RAG patterns.
- Academic, personal, or early professional projects involving AI-enabled applications.
- Exposure to cloud platforms (e.g., AWS, Azure) through coursework or projects.
- Curiosity about software quality, security, and reliability, even if experience is still developing.
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.
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Frequently asked questions
What skills are required for Full-Stack Engineer, Generative AI at Marsh McLennan?
The required skills for Full-Stack Engineer, Generative AI at Marsh McLennan include: JavaScript, TypeScript, React, Node.js, Python, FastAPI, Django, REST, AWS, SQL, NoSQL, Agile, Generative AI, LLM.
What is the seniority level for Full-Stack Engineer, Generative AI at Marsh McLennan?
Full-Stack Engineer, Generative AI at Marsh McLennan is a Entry level position.
How do I apply for Full-Stack Engineer, Generative AI at Marsh McLennan?
You can view the full description and apply for Full-Stack Engineer, Generative AI at Marsh McLennan on EchoJobs: https://echojobs.io/job/marsh-mclennan-junior-full-stack-engineer-xwpg1.