Top Artificial Intelligence Jobs in Mexico City

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

Design, deploy, and optimize AI-driven agents and automated workflows across business functions. Identify inefficiencies, build tool-using and multi-agent systems, integrate advanced LLM tools, collaborate cross-functionally, document processes, and continuously test and refine automations to drive scalable operational efficiency.

Design, build, and deploy end-to-end LLM-based AI applications (RAG, fine-tuning, embeddings). Work with founders and clients, iterate rapidly, and own production delivery including cloud deployment and ML pipelines. Occasionally contribute to frontend, dev tooling, or data pipelines.

The AI Enablement Lead will design and conduct training programs to improve AI fluency within Juniper Square, focusing on tools like Claude and Cowork. Responsibilities include curriculum development, leading sessions, coaching, and measuring adoption outcomes.

As an AI Consultant, you'll drive customer adoption of AI features, implement AI products, analyze performance metrics, and provide training initiatives for clients. You'll collaborate with various teams to enhance customer experiences and ensure successful adoption of Glia's AI technologies.

The role involves designing, building, and optimizing an AI-driven lead generation and conversion system for a premium concierge medical practice, integrating multiple platforms and ensuring continuous optimization.

The Social Media & Content Operations Assistant executes content management and lead handling tasks, utilizing structured AI workflows and tools, while maintaining organization and consistency within the operations.

Design and maintain backend services, develop microservices, implement asynchronous processing, and collaborate on system scalability for AI-assisted applications.

The Senior Full Stack Engineer is responsible for developing backend services with Node.js and mobile applications using React and Capacitor, emphasizing code quality and architectural principles in a collaborative environment.

Design and maintain cross-platform mobile applications for iOS and Android, optimize app performance, manage deployments, and collaborate with various teams.

Design, develop, and maintain serverless applications on AWS, manage infrastructure as code, collaborate with teams, and enhance CI/CD processes.

Lead enterprise cloud architecture on Azure, define standards for networking, security, IAM, and resource organization. Guide platform strategy for Snowflake/Databricks, design API-driven AI-ready systems, evolve CI/CD and IaC practices, reduce technical debt, and establish governance and reference patterns for AI-to-production.

Early-career engineer role building AI-driven features, prototypes, and production-quality systems using modern AI coding agents. Work closely with founders and senior engineers to iterate fast, direct and evaluate AI agents, and contribute to AI infrastructure and agentic development workflows.

Lead development of AI-native production systems: convert AI-assisted prototypes into scalable, secure software; own architecture, reliability, and technical direction; direct and control AI coding agents; define engineering standards and workflows; collaborate with founders on product and strategy; debug complex issues and elevate engineering quality.

Create high-volume, high-quality marketing content using generative AI and AI agents (video, image, social). Develop timely campaign ideas, track AI and cultural trends, experiment with formats, and work closely with founders and the marketing team to shape brand voice and growth.

Build and maintain open source AI integrations, frameworks, and sample applications that demonstrate Backblaze B2 in AI workflows. Contribute to public repositories, ensure high standards for testing, documentation, and reproducibility, and collaborate with product and QA to reflect real customer AI workflows.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Own and optimize AI-powered support tools (chatbots, agent copilots, knowledge retrieval, automation). Monitor performance, identify automation opportunities, create and test prompts/workflows, maintain training data, coordinate integrations, and produce documentation and training for support teams.

The Applied AI Engineer will develop and deploy AI automation solutions, integrate LLMs, and collaborate with clients to enhance workflows and systems.

Freelance senior illustrator creates high-quality digital illustrations across varied styles, producing characters, environments, and concept art. Documents prompts and style decisions, collaborates with AI researchers, incorporates feedback, and delivers production-ready artwork on schedule.

Design and implement AI-powered business workflows using Microsoft Copilot Studio and Power Platform (Power Apps, Power Automate, AI Builder). Build automations, conversational experiences, and integrations with SharePoint and REST APIs. Collaborate with solution architects and technical leads to support implementation, integration, testing, and deployment across enterprise processes.

The AI Developer will design, train, optimize, and deploy LLM models, develop backend services and maintain models in offline environments, focusing on ML engineering and optimizing workflows.

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.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.