Top Artificial Intelligence Jobs in Mexico City

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Build and integrate AI agents and automation solutions using enterprise AI platforms (Glean, Copilot, Bedrock). Implement RAG, prompt engineering, and structured outputs; integrate data sources, develop APIs, microservices, serverless functions, and reusable automation components. Follow CI/CD, version control, testing, and DevOps best practices.

The role involves creating narrative-driven content using AI video tools, managing production workflows, and ensuring visual storytelling consistency. The editor will work independently on concept creation, editing, and post-production, focusing on both artistic and technical elements of AI-generated video.

The AI Engineer will develop and deploy AI agents for financial applications, enhance LLM capabilities, and integrate with cross-functional teams.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

The AI Engineer will design, build, and deploy scalable AI agents, focusing on enhancing a WhatsApp-based platform while integrating sophisticated systems for diverse functions.

The AI Engineer will design, build, and scale autonomous AI agents for the WhatsApp platform, integrating AI into financial services for Latin immigrants. Responsibilities include development of AI agents, integration, evaluation of LLMs, and prompt engineering.

Develop server-side APIs for user authentication and data management, utilizing AI-assisted tools while ensuring code quality and addressing customer issues at scale.

As a Senior Software Engineer specializing in AI, you will develop server-side APIs, leverage AI development tools, and support customer issue resolution while maintaining high coding standards across various backend languages and tools.

The Software Engineer, AI designs and builds server-side APIs, collaborates with teams, and ensures high standards in code and tools, focusing on AI-assisted development.

The role involves building mobile applications for iOS and Android, collaborating with cross-functional teams, utilizing AI tools, and ensuring quality and customer experience.

The Principal AI Engineer will build AI platforms, develop agent harness infrastructures, implement evaluation frameworks, automate CI/CD pipelines, and ensure the quality and security of AI agents, leveraging multi-turn reasoning and agent orchestration.

The Senior Software Engineer will design and develop AI-driven solutions to optimize business processes, collaborating with various teams and stakeholders.

The Marketing Video Artist will create engaging video ads, manage the editing process, leverage AI tools, and optimize content for various platforms.

The Director of Engineering will lead the Epiq AI Labs team, focusing on hands-on engineering and team management, and will ship production code while mentoring engineers and ensuring quality standards.

The Senior AI Engineer will design and develop production-grade AI systems, focusing on LLM integrations, ML model serving, and backend reliability for Jeeves's financial platform.

The Senior Quality Engineer will architect test cases, contribute to AI-first practices, collaborate with cross-functional teams, and ensure high test coverage in the development process.

Contribute to all lifecycle stages of AI products, manage agent systems, utilize AI in workflows, and support cross-team AI enablement.

The Python Engineer will design and develop AI/ML-driven applications, optimizing models, collaborating with teams, and integrating AI features while working with diverse data types.

The role involves developing full-stack applications for mental healthcare, utilizing TypeScript, Node.js, React, and AI tools. Candidates will own features end-to-end and collaborate with teams to enhance user experience and system performance.

The role involves designing and developing scalable cloud-native applications, building AI-driven systems, collaborating with teams, and adopting innovative technologies.

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.

As a Senior Software Engineer, you'll develop features for the Customer Success Data Platform, focusing on both front-end and back-end development while ensuring high-quality code and optimizing performance through collaboration and automation.

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.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.