Top Artificial Intelligence Jobs in Mexico City

The Software Engineer II role focuses on AI development, designing AI-powered workflows and tools to enhance software engineering productivity and collaboration across teams. Responsibilities include building AI agents, improving CI processes, and streamlining development environments.

The Technical Advisor manages post-sales customer relationships, providing cybersecurity expertise and supporting adoption of the TrendAI platform to strengthen security posture and drive value realization.

The AI & Transformation Intern will support IT and Clinical Platforms teams, focusing on AI tools and user engagement strategies, while gaining experience in cloud computing and agile practices.

As a Sr. Lead AI Engineer, you will develop the agent harness for supplier agents, focusing on platform design and cloud infrastructure deployment while collaborating with product and engineering teams.

As a Lead AI Engineer, you will build an AI harness for supplier agents, manage context, design sub-agent patterns, and debug production behaviors, collaborating with a senior engineer on architecture.

The HR AI Specialist designs and deploys AI and ML models to optimize HR workflows, ensuring compliance and integrating with IT systems.

As a Senior Data Engineer, you will design scalable data pipelines, develop data models, partner with cross-functional teams, and enhance data quality and governance.

As the Identity Product Manager, you will oversee the strategy and development of the identity platform, focusing on customer identification, authentication, and account management. You will collaborate with cross-functional teams to ensure platform extensibility, data integrity, and security while driving significant business impact.

The Identity Product Manager will drive the strategy for identity and account platform, managing authentication flows, data architecture, and cross-functional leadership to enhance customer verification and security while ensuring scalability and alignment with business impact.

The Technical Product Manager will oversee the Identity platform strategy, including authentication flows, data architecture, cross-functional collaboration, and KPI definition, driving product evolution with a focus on AI integration.

The Technical Product Manager will oversee the identity and account platform, drive strategy for customer verification, and collaborate with cross-functional teams to ensure data integrity, scalability, and security while measuring business impact through key performance indicators.

As a Technical Product Manager for Identity, you will lead the strategy and development of identity and account management systems, collaborating with cross-functional teams to drive platform success and ensure security and user experience.

The Platform Engineer will develop AI-driven tooling for testing performance and functionality, enabling engineering teams to enhance code efficiency and quality.

The role involves designing, developing, and delivering AI-based technical solutions to enhance business processes, collaborating with stakeholders, and ensuring model accuracy.

Lead cloud architecture design and propagate architecture standards. Design, migrate and maintain cloud/serverless solutions on Azure, ensure nonfunctional requirements, support project and application managers, and communicate architecture to development teams.

Lead the QA function for an AI-driven product, defining strategies, standards, and practices while embedding quality processes within the engineering team.

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

The Forward Deployed Engineer (AI) ensures the successful implementation of AI solutions by adapting them to client needs, following security standards, developing tools, and conducting technical analyses to enhance user experiences.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The AI Recruiting Operations Specialist optimizes AI-driven recruiting workflows, manages talent rediscovery, and collaborates cross-functionally to enhance operational efficiency.

The role involves developing backend systems with Java and Spring Boot, designing APIs, integrating AI features, and ensuring system performance and reliability.