Back

Permanent

Mexico City

Estado de México

Tech

Full

• Time

02-Feb-2026

For more than a century, L’Oréal has devoted its energy, innovation, and
scientific excellence solely to one business: Beauty. Our goal is to offer
every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to
satisfy all beauty needs and desires in their infinite diversity.

At L'Oréal, our IT teams design and build solutions to ensure high
performance for all our business sectors by imagining new ways of doing things,
from designing websites to building algorithms and predicting new trends.
They can be found leading teams towards a more connected and digitalized future
in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing.
You never stop learning at L'Oréal IT because things change at the speed of
light! Come join our dynamic team!

About the role:

As a Lead Web Full Stack Engineer in the AI & Tech:

Accelerator team, you will be a key player in bringing our AI-driven vision to
life. You will be responsible for designing, developing, and deploying robust,
scalable, and user-friendly web applications that serve as the interface for
our cutting-edge AI, Machine Learning, and Generative AI solutions. Your work
will directly support transversal use cases that drive the tech transformation
of L'Oréal.

Key Responsibilities:
You
will lead the technical charge in bridging the gap between complex AI models
and intuitive user experiences.

• Build
  High-Impact Interfaces: Develop
  and maintain high-quality, responsive, and user-friendly front-end interfaces
  using modern frameworks (ReactJS) to make our AI-powered applications
  accessible and engaging.

• Architect
  Robust Backends: Build and manage scalable
  backend services and APIs (Python/FastAPI) that power our web applications and
  support high-performance AI model serving.

• Integrate
  AI Solutions: Collaborate closely with
  AI Engineers and Data Scientists to seamlessly embed machine learning models
  and complex AI-driven features into production-ready applications.

• Data
  Management: Design and implement
  effective data models, ensuring efficient storage, retrieval, and management
  across various database systems (SQL & NoSQL).

• Own the
  Lifecycle (DevOps): Participate in the entire
  application lifecycle-from concept and design to deployment-embracing DevOps
  principles for CI/CD and cloud infrastructure management on GCP.

What
we are looking for:
We are seeking a curious, collaborative innovator
who thrives in a dynamic environment. You should value autonomy, team spirit,
and the desire to make a tangible business impact.

Education & Experience:

• Background in Computer Science, Web Development, or a related
  engineering field.

• Proven experience in full-stack development (4+ years)

Technical Expertise:

• Front-End Mastery: Strong proficiency in JavaScript/TypeScript
  with extensive experience in modern frameworks like ReactJS. Familiarity with
  build tools like ViteJS and UI libraries such as ShadCN is a strong plus.

• Back-End Solidity: Deep experience with Python and modern web
  frameworks like FastAPI or Django.

• Database Knowledge: Proficiency with both SQL and NoSQL database
  technologies (e.g., PostgreSQL, MongoDB, Firestore).

• DevOps & Cloud: Solid understanding of CI/CD principles and
  tools (Git, Docker, Jenkins). Experience deploying applications on cloud
  platforms, particularly Google Cloud Platform (GCP).

• API Design: A strong ability to design, build, and maintain secure
  and efficient RESTful APIs.

Soft Skills & Mindset:

• Entrepreneurial Spirit: You approach problems with curiosity and a
  strategic mindset, ready to build solutions from the ground up.

• Adaptability: You may not be an expert in every single tool listed
  above, but you possess the drive to learn new technologies quickly.

• Collaboration: Excellent communication skills and a passion for
  working in a mixed environment with AI specialists, UX/UI designers, and
  business stakeholders.

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

We are an Equal Opportunity Employer and take pride in a diverse
environment. We would love to find out more about you as a
candidate and do not discriminate in recruitment, hiring, training, promotion,
or other employment practices for reasons of race, color, religion, gender,
sexual orientation, national origin, age, marital or veteran status, medical
condition or disability, or any other legally protected status.

Apply now

You can apply to up to three jobs within a rolling 30-day window.

You cannot withdraw your application once you applied, so please make sure to choose a job that matches your dreams.

Please visit "Your Application Space" to see the jobs you have already applied to.

Please don’t create another account with a different email. If you do so, your account might be merged and your application record will be deleted.

Share this job:

Facebook

LinkedIn

X

var apply Buttons = tpt.select All("a.button--apply");
apply Buttons.for Each(function(button){
tpt.add Listener(button, "click", function(){
data Layer.push({
'event': 'uaevent',
'event Category': 'job page',
'event Action': 'apply now',
'event Label': 'IT Full Stack Engineer Lead - 031::Tech::Non Allocated::::Full

• Time::Permanent::Mexico::Estado de México, Mexico City::233743',
  'ecommerce': 'undefined'
  })
  });
  });

var social Share Buttons = tpt.select All(".social-share__popup__icondata-social Network");
social Share Buttons.for Each(function(button){
tpt.add Listener(button, "click", function(){
data Layer.push({
'event': 'uaevent',
'event Category': button.dataset.socialnetwork,
'event Action': 'share',
'event Label': 'IT Full Stack Engineer Lead - 031::Tech::Non Allocated::::Full

• Time::Permanent::Mexico::Estado de México, Mexico City::233743',
  'ecommerce': 'undefined'
  })
  });
  });