20 publicaciones de empleo destacadas en enterprise solutions engineer mexico (¡Están contratando!)

AI Engineer Fellowship - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Python
Postulación rápida
Systems Engineer - Must Reside in Mexico City
Extreme Networks —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Experiencia en ventas
- Inglés
- Plan de adquisición de acciones empresariales
- Seguro dental
Postulación rápida
Oliver Wyman - GenAI Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Administración de personal
- Experiencia en bases de datos
- Python
Software Engineer (Backend), Content Foundations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Software Engineer, Platform - Guadalajara, Mexico
Speechify —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Doctorado
12d
Azure Engineer
Sealed Air —Edo. de México
- Azure
- SQL
- Python
Oliver Wyman - Advanced Analytics Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- SQL
- Python
Principal Fullstack Engineer
Amalga Group —Benito Juárez, CDMX
- $70,000 a $100,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Experiencia en bases de datos
Technology Services Specialist (MDM Engineer)
Revolut —Desde casa
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Senior Angular Frontend Engineer UX Minded Full Stack Remote Position
SVAM International de Mexico, S. de R.L. de C.V. —Ciudad Victoria, Tamps.
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en manufactura
- HTML
Postulación rápida
Strategy & Consulting - Global Network - Industry X - Connected Services Mobile Software Development – Automotive
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Desarrollo de software
- Liderazgo
Principal Frontend Engineer (Mexico Remote)
Turnitin, LLC —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Postulación rápida
Software Engineer, Platform - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Doctorado
3d
GenAI Engineer
NTT DATA, Europe & LATAM, Branch in USA, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
14d
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
13d
Field Services Technician
NTT Ltd —Ciudad de México, CDMX
Senior GenAI Engineer (LLM, AI Agents, Python) | Remote |
U-Hi —Desde casa
- $90,000 a $92,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- Desarrollo de software
Postulación rápida
14d
EY GDS Mexico - Senior Data Engineer
EY —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- DevOps

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AI Engineer Fellowship - Mexico

LunarTech
Desde casa

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Azure
Derecho
Ingeniería de software
PyTorch
DevOps
Git
Docker
NLP
Python

Descripción completa del empleo

Fellowship Title: AI Engineer Fellow

Department: Engineering & LunarTech Labs

Location: Remote (Global) / Hybrid (depending on specific team hub)

Type: Fellowship

Why This Fellowship Exists

The gap between learning AI and doing AI in production is enormous. Most graduates can train a model in a notebook—but few know how to deploy it reliably, monitor it in production, and iterate on it when the real world doesn't match the training data.

The LUNARTECH AI Engineering Fellowship was created to close that gap. We take ambitious, technically sharp individuals and immerse them in the full reality of enterprise AI—from data pipelines to deployed models, from research prototypes to systems serving thousands of users.

About LUNARTECH

LUNARTECH operates at the frontier of AI education and enterprise AI delivery. LunarTech Academy is our platform for democratizing tech education. LunarTech Labs is where we engineer production AI systems for clients in healthcare, heavy industry, and telecommunications. We are builders, not theorists. Every system we design must work in the real world.

What the Fellowship Looks Like

You will join a cross-functional AI engineering team and contribute to active projects from day one. There is no "onboarding limbo"—you will have a mentor, a codebase, and a problem to solve within your first week.

Over the course of the fellowship, you will:

Work on model development—designing, training, and evaluating ML and deep learning models for NLP, computer vision, and predictive analytics use cases.

Build production ML systems—constructing end-to-end pipelines that move models from experimentation to reliable deployment, including data ingestion, feature stores, model serving, and monitoring.

Engage with LLM engineering—developing applications using Large Language Models, including RAG architectures, prompt optimization, fine-tuning, and agentic frameworks.

Drive model optimization—improving inference speed, reducing memory footprint, and ensuring cost-effective scaling for enterprise workloads.

Champion responsible AI—implementing explainability techniques and bias audits, especially for high-stakes domains like healthcare where trust is non-negotiable.

Collaborate across teams—working with Data Engineers, DevOps, and Product Managers to deliver integrated solutions and translate business needs into technical plans.

The Ideal Candidate

You don't need years of industry experience. You need a demonstrated ability to learn fast, think critically, and write code that works.

- Strong ML fundamentals through academic study, research, bootcamps, or self-directed projects

- Proficiency in Python and hands-on experience with PyTorch or TensorFlow

- Exposure to LLMs and modern NLP—whether through coursework, Kaggle, personal builds, or research

- Solid mathematical foundations in statistics, linear algebra, and optimization

- Software engineering discipline—you write tested, readable code and use Git fluently

- Strong communication skills—you can explain your approach clearly and ask good questions

Bonus Points

- Experience with ML infrastructure (MLflow, Weights & Biases, Kubeflow)

- Familiarity with containerization (Docker) and cloud environments (AWS/Azure)

- Published work or open-source ML contributions

- Domain knowledge in healthcare, energy, or telecommunications

- Experience with multi-modal systems, reinforcement learning, or edge deployment

What LUNARTECH Offers You

Impact: Your work ships. You will see your models serve real users in critical industries—not gather dust in a research repo.

Mentorship That Matters: You will be paired with a senior AI engineer who will guide your development through structured check-ins, code reviews, and design sessions.

Learning at Scale: Full, unlimited access to LunarTech Academy—our comprehensive catalog of courses in AI, data science, cloud, and software engineering.

A Culture of Excellence: We are remote-first, globally distributed, and fiercely committed to integrity. We don't micromanage. We set high standards and trust you to rise to them.

Fellowship Stipend: A competitive stipend for the duration of the fellowship, with a transparent pathway to full-time employment based on your performance and contributions.

Type: Fellowship

Work Location: Remote / Hybrid

Job Types: Full-time, Internship

Work Location: Remote

Postulación rápida

Refina tu búsqueda

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AI Engineer Fellowship - Mexico

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Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City

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AI DI Engineering Manager - Mexico City

Senior Angular Frontend Engineer UX Minded Full Stack Remote Position

Strategy & Consulting - Global Network - Industry X - Connected Services Mobile Software Development – Automotive

Principal Frontend Engineer (Mexico Remote)

Software Engineer, Platform - Mexico City, Mexico

GenAI Engineer

Forward Deployed Engineer

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Senior GenAI Engineer (LLM, AI Agents, Python) | Remote |

EY GDS Mexico - Senior Data Engineer

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