20 publicaciones de empleo destacadas en agentic engineer python (¡Están contratando!)

Forward Deployed Engineer II, Generative AI, Google Cloud (English, Spanish)
Google —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Doctorado
GenAI Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Senior Python Engineer (Contract)
Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Lead Python Developer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Capacitación
- Liderazgo
Lead AI Engineer (Content Intelligence Applications)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
10d
Technology Services Specialist (MDM Engineer)
Revolut —Desde casa
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
Client Technology - Engineering - AI Lead Engineer
EY —Miguel Hidalgo, CDMX
- Licenciatura
- Python
Senior AI Engineer in Content Intelligence Applications
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Senior AI Engineer (Content Intelligence Applications)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Sr AI/ML Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- Experiencia en manufactura
Founding Senior Software Engineer (USA + LATAM)
Clipbook —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Python
Postulación rápida
9d
Lead Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Expert Consultant, Coro, AI Engineer
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Doctorado
- Programa de bienestar
- Seguro dental
Postulación rápida
3d
AI Software Engineer
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Oracle
- Java
- JavaScript
- Seguro dental
- Seguro de vida
9d
AI Software Engineer (Remote)
Neumo Holdings LLC —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- JavaScript
- Python
Postulación rápida
Core Services Data Operations - Lead Engineer
FICO —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Java
- JavaScript
9d
Lead Engineer, CoCounsel Application
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- JavaScript
2d
Senior Full Stack Engineer (Python/React)
Forager —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Sin título de educación superior
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida

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Forward Deployed Engineer II, Generative AI, Google Cloud (English, Spanish)

Google -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Microsoft Excel
Administración de personal
Derecho
Doctorado
Informática
Plurilingüe
Inglés
Google Cloud Platform
Maestría
Licenciatura
Desarrollo de software
Seguridad
Python
Debugging

Descripción completa del empleo

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
2 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.
Experience building full-stack applications that interact with enterprise IT infrastructures and developing external customer projects.
Ability to communicate in English and Spanish fluently to support client relationship management in this region.

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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