9 publicaciones de empleo destacadas de full stack engineer en acolman de netzahualcóyotl méx. (¡Están contratando!)

Junior Full-Stack Engineer
Marsh —City, Hgo.
- Tiempo completo
- Azure
- Informática
- SQL
Principal Full Stack Engineer (React)
ION —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Salesforce
Principal Full Stack Engineer (React)
Lab49 —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Salesforce
AI Engineer (Technical Product Owner)
Foxelli Group —City, Hgo.
- $2,000 a $3,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Senior Systems Engineer
Marsh —City, Hgo.
- Tiempo completo
- Azure
- DevOps
- Inglés
Engineering Manager
Smartly.io —City, Hgo.
- Liderazgo
Software Engineer - Enterprise Platform
Watershed Technology —City, Hgo.
- Tiempo completo
- JavaScript
Tech Lead
ION —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Tech Lead
Lab49 —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Inglés

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Junior Full-Stack Engineer

Marsh -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Node.js
Derecho
Informática
Ingeniería de software
React
Tooling
NoSQL
SQL
Licenciatura
JavaScript
Django
Seguridad
TypeScript
Python

Descripción completa del empleo

Company:

Marsh

Description:

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.

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 creating 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, or any other characteristic protected by applicable law.

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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