Top Artificial Intelligence Jobs in Mexico City

As Director of AI/ML, lead AI teams, manage AI projects, ensure scalable solutions, and coordinate across multiple departments to deliver impactful AI solutions.

Design and build AI-powered features using C# and .NET Core for backend and Angular for frontend, ensuring scalable solutions across products.

The Senior / Lead Full Stack Engineer will design and build full-stack applications, develop APIs, optimize performance, and integrate AI features while managing deployment on Vercel.

The Senior Software Engineer will develop full-stack applications, collaborate on product initiatives, and leverage AI tools to enhance mental healthcare solutions.

The Python Engineer will design and develop AI/ML-driven applications, optimize models, and collaborate with teams to deliver scalable solutions.

As a Lead Software Engineer at PMG, you will design, develop, and deploy scalable AI-driven solutions, mentor other engineers, and enhance the Alli platform for digital marketing. Responsibilities include coding, code reviews, and integration with cross-functional teams.

As a Senior AI Services Consultant, you will provide technical solutions and guidance for customers implementing AI technologies, ensuring successful project delivery and high customer satisfaction. You'll oversee AI project management and help optimize customer outcomes through effective adoption of Zendesk's AI offerings.

Lead a team in building the agentic testing framework for Agentforce Supply Chain, focusing on technical vision, operational excellence, and team management.

The Freelance AI Artist will produce high-quality images and videos using AI technologies, collaborating with marketing to align with brand identity and experimenting with new workflows.

The role focuses on defining and scaling AI-enabled QA capabilities, researching technologies, designing solutions, supporting sales, and mentoring teams.

The Developer, Agentic Systems & Automation will design and build technical foundations for agentic systems, partnering with stakeholders to create scalable workflows, integrate AI tools, and ensure reliability in automation processes.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The role focuses on designing, building, and maintaining integrations across enterprise systems like NetSuite and Salesforce, leading migrations, and ensuring data governance.

The Head of AI & Software leads a distributed software development team, overseeing multiple projects across various domains, setting engineering standards, and ensuring technical quality. Responsibilities include team leadership, project management, technical architecture, and collaboration with stakeholders while managing complex operational requirements.

The AI Content Creator will develop brand identity and create AI-generated content across social platforms, ensuring alignment with brand guidelines and marketing goals.

Perform part-time remote data tasks to improve Spanish (Mexico) AI outputs: collect, evaluate, annotate, and tag content across audio, video, images, and other data; perform pairwise comparisons and counting tasks. Flexible schedule, immediate start.

Design and develop AI-powered applications, integrate large language models, and implement machine learning solutions in a cloud environment while ensuring performance and security.

The AI Operations Engineer will build and maintain AI-powered tools for operations, collaborate with stakeholders, and handle multiple daily software releases.

Design, develop and maintain microservices and RESTful APIs using Java and Spring Boot. Collaborate with teams and ensure high-quality engineering solutions.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

The Revenue Operations Lead will optimize revenue systems, improve forecasting, and enhance collaboration between Sales and Customer Success teams at Prolific.

The Sr. AI Engineer will design, develop, and deploy scalable ML models, collaborate on AI-driven features, and mentor team members while optimizing machine learning infrastructure.

The AI Engineer I will develop AI systems, build features, and integrate AI solutions into products and workflows, collaborating with teams for impactful solutions.

The AI Engineer II will develop AI-powered platforms, lead complex projects, and integrate AI capabilities into products, enhancing user experiences and driving productivity.

Evaluate and annotate various types of content for quality and consistency, following structured guidelines during a data annotation project.