Top Artificial Intelligence Jobs in Mexico

Provide technical support to customers via phone, chat, and email. Troubleshoot technical issues, guide users through solutions, and document resolutions. Foster collaboration and share knowledge within the support team while maintaining high customer satisfaction.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead the development of AI self-service platforms to enhance customer experience, focusing on performance analysis, strategic collaboration, and innovation in conversational AI.

Join Welo Data to assist in AI projects, contributing to language data quality through annotation and evaluation while working remotely.

Develop robust and scalable data pipelines, manage content ingestion into storage, and create search index pipelines for AI-powered products.

Lead AI system design and implementation for client agencies, optimize workflows and processes, and train clients on adoption and scaling.

The AI Automation Developer will create business automation systems using Next.js and MongoDB, integrate APIs, and collaborate with clients to identify automation opportunities.

This role involves building scalable generative AI solutions on GCP, focusing on architecture, AI agent development, document processing, optimization, and enterprise integration.

The Full Stack Engineer will design and maintain applications on Broadcom's Maverick Platform, utilizing AI-assisted workflows and improving UX and developer experiences.

The Agentic AI Expert will evaluate and enhance Broadcom's AI workflow, focusing on agentic systems, LLM orchestration, and Kubernetes-based autonomous agents.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

The AI Operations Director leads the design and implementation of AI systems for service agencies, diagnosing operational issues and enhancing workflows without requiring headcount increases.

The AI Software Engineer will develop a multi-agent system integrating AI agents into business teams, focusing on planning, architecture, and collaboration.

The FBS IT Automation Engineer will design and implement automation solutions, enhance system uptime, manage incidents, and foster a collaborative team environment.

A Senior Technical Recruiter responsible for end-to-end recruiting of AI and ML roles, utilizing technical skills for sourcing and outreach globally.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

The Salesforce Engineer role focuses on optimizing Salesforce components, building AI workflows, maintaining backend bridges, and ensuring data integrity for reporting.

Lead the development of scalable web applications using Angular and Node.js. Collaborate with teams, enhance software, and ensure quality delivery throughout the software development lifecycle.

Design and optimize AI models, deploy solutions on cloud platforms, and collaborate on AI enhancements while staying updated with industry advancements.

As a Product Owner, you will design and build workflows in n8n, integrate services, collaborate with teams, and optimize automation solutions.

The Research Engineer will develop the DeOS framework, optimizing AI workloads, managing GPU resources, ensuring scalability, and contributing to open-source projects.

As a Senior Backend Engineer, you will design and build AI-driven backend systems for power management, ensuring production readiness and collaborating across teams.

As a Go High Level CRM Expert, you will develop AI-driven automation strategies, optimize customer interactions, and improve lead management.

The Back-End Developer will design, develop, and maintain scalable microservices, ensuring technical quality, unit test coverage, and API documentation to support system integration.