Top Artificial Intelligence Jobs in Mexico City

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

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

The AI Engineer & Data Engineer will develop data pipelines, ensure data quality, and integrate AI into workflows for performance reporting and billing reconciliation.

Design and build AI-driven automation and internal tooling to replace manual workflows, improve reliability, and scale IT/platform operations. Implement APIs, event-driven services, and CI/CD; apply LLMs for decision support and incident analysis; maintain systems with testing, observability, and on-call participation while collaborating with Security, Compliance, and Platform teams.

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.

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.

The Gen AI Developer Specialist will work on AI/ML development, focusing on neural networks, natural language processing, and LLM using various technologies.

As a Principal Software Architect, you'll lead platform integrations, architect scalable cloud-native applications, and leverage AI/ML for enhanced security. You'll work collaboratively across teams and mentor engineers while ensuring system optimization and operational excellence.

Evaluate the quality of AI-generated conversations by auditing chatbot interactions based on naturalness, utility, and audio quality, ensuring adherence to project guidelines.

Design, implement, and maintain automated test suites using Playwright. Integrate tests into CI/CD pipelines, mentor team members, and enhance test reliability.

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

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.

Design, build, and own AI-powered full-stack platforms and features end-to-end. Embed AI into customer-facing products and internal tools, drive ambiguous problem discovery to production rollout, ensure reliability/security, support incidents, and mentor team members.

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 technical client engagements in machine learning and AI, shape strategy, influence architecture, and ensure high-quality outcomes for clients by leveraging AWS services.

As a Customer Support Expert, you will respond to customer inquiries via social media and email, providing excellent service on behalf of various brands.

The AI Principal Engineer will drive the AI product vision, collaborate closely with the CEO, design key features, and lead a team of AI engineers in a fast-paced startup environment.

The role involves creating original math problems, auditing existing content for accuracy, operating AI tools for content generation, and collaborating with the academic team to deliver pedagogically sound math resources.

Lead a team of ML engineers, manage client engagements, and provide strategic advisory on ML architecture while driving pre-sales. Ensure team growth and quality of deliverables.

Design, build, and operate production AI systems, enhance backend services, improve reliability, and collaborate on technical projects within the AI-native engineering team.

As a Staff Software Engineer at Juniper Square, you'll lead architectural decisions and develop AI-powered systems, mentoring engineers and ensuring high-quality technical standards while collaborating with cross-functional teams.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

As a Senior Software Engineer, you will develop core data pipeline components for an AI-native data warehouse, oversee feature delivery, and ensure data quality and reliability.