13 publicaciones de empleo destacadas de lead agentic data systems engineer en chimalhuacán, méx. (¡Están contratando!)

Senior AI Software Engineer
Workana —Ciudad de México, CDMX
- Home Office (Desde casa)
- Licenciatura
- Python
Postulación rápida
Senior Product Manager, AI
Aplazo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Administración de personal
- Inglés
Postulación rápida
Portfolio Leader (Builder People Leader)
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Liderazgo
5d
Senior Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- JavaScript
- Disponible para viajar
Principal, Account SE
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Inglés
- Java
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
- DevOps
- Java
14d
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Salesforce
- Java
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
- Seguro de la vista
Postulación rápida
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Senior Software Engineer– Salesforce Full Stack Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- SQL
- JavaScript
Salesforce Developer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- DevOps
- Desarrollo de software
Success Architect - Sales Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Software Engineer | AI Focus
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Salesforce

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Senior AI Software Engineer

Workana -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Cualificaciones

Derecho
Ingeniería de software
Licenciatura
SaaS
Python

Descripción completa del empleo

Workana is the largest remote work platform for talents in Latin America. Our new segment, Workana Premium, focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.

We are proud to present you with the following opportunity.

About Our Client

Our client is a family-owned legal services business undergoing a major transformation to scale their operations through advanced AI and software solutions. They are building the future of their industry by automating workflows, enhancing efficiency, and creating AI-powered products that redefine how legal services are delivered.

Role Overview

We are seeking a Senior AI Engineer to join the team and lead the development of cutting-edge agentic orchestration systems. This role will focus on two key initiatives:

SaaS Conversion – Transforming the company’s existing AI-driven report generation framework into a scalable SaaS product.
Deposition Agent System – Building and orchestrating a new AI agent workflow to automate deposition preparation, integrating diverse data sources and leveraging Model Context Protocol (MCP).

The ideal candidate is an experienced AI engineer with strong integration skills, Python expertise, and hands-on knowledge of agentic orchestration and MCP. You will collaborate directly with the CTO, execute autonomously, and potentially mentor junior engineers as the team expands.

Responsibilities

Design and implement agentic orchestration workflows, including Agent-to-Agent (A2A) communication and self-reinforcement learning.
Lead the SaaS conversion of the company’s existing AI-based product, ensuring scalability, security, and reliability.
Build the Deposition Agent System, integrating APIs and data pipelines (email, CRM, file systems) into LLM-powered agents.
Work with Model Context Protocol (MCP) to connect and contextualize data across multiple systems.
Evaluate and integrate AI frameworks (e.g., N8N, CrewAI, or alternatives) to optimize agent performance.
Collaborate with the CTO and stakeholders to translate business needs into technical solutions.
Provide technical guidance and mentorship as the AI team grows.

Requirements

5+ years of software engineering experience, with at least 3 years in AI/ML or agent-based systems.
Proven experience with agentic orchestration, Model Context Protocol (MCP), and Agent-to-Agent (A2A) Protocols (hands-on preferred, theoretical knowledge acceptable).
Strong coding skills in Python, with the ability to leverage “vibe coding” tools (e.g., Claude, Copilot) for rapid development.
Experience with API integrations, data pipelines, and connecting multi-system environments.
Understanding of SaaS product architecture and deployment.
Ability to work autonomously while following high-level direction from the CTO.
Excellent problem-solving skills and adaptability to emerging AI technologies.

Benefits

Compensation in USD
Fully remote work in Latin America
Career growth opportunities with international projects and innovative AI-driven initiatives

Postulación rápida

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lead agentic data systems engineer empleos en chimalhuacán, méx.

Senior AI Software Engineer

Senior Product Manager, AI

Portfolio Leader (Builder People Leader)

Senior Software Engineer, Applied AI Services

Principal, Account SE

Lead Site Reliability Engineer

AI Platform Engineer

Senior Software Engineer | Remote | AI SaaS Software Role

Machine Learning Platform Engineer

Senior Software Engineer– Salesforce Full Stack Developer

Salesforce Developer

Success Architect - Sales Cloud

Software Engineer | AI Focus

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