Top Artificial Intelligence Jobs in Mexico City

Build and maintain Python/FastAPI backend services and APIs, implement React frontend components, integrate MongoDB and AWS, collaborate via GitHub, participate in agile sprint planning, and work with AI and product teams to improve scalability and reliability.

Lead design, build, and scale client-facing and internal automation systems. Create advanced workflows (GoHighLevel, n8n/Make/Zapier), integrate platforms via APIs/webhooks, document SOPs, advise clients, maintain CRMs and troubleshoot live systems for reliability and scalability.

Drive end-to-end high-ticket sales in AI and automation: prospect, conduct discovery calls, nurture leads, manage pipeline in CRM, and close deals. Execute high-volume outbound campaigns using cold calling, email, and LinkedIn while meeting revenue targets and refining outreach with leadership.

Design, develop, and deploy scalable AI/ML solutions using LLMs and generative AI. Build RAG systems, chatbots, automation workflows, and production model pipelines; collaborate with product and engineering teams, monitor and improve model performance, and document systems.

Outbound-focused SDR role selling AI SaaS: prospect via calls, email, and LinkedIn; qualify leads, engage decision-makers, book demos for AEs; maintain CRM records and meet monthly KPIs while collaborating with marketing and sales.

Design, build, and maintain AI-driven automations and lightweight internal tools using Make.com, LLMs, APIs, and basic code. Integrate platform data (Shopify, Google Ads, Meta, Looker Studio), document systems, train staff, and research emerging AI tools to boost team efficiency and scale operations.

Manage and deploy AI-driven automation and workflows, onboard clients, translate requirements into actionable automations, design prompts for LLMs, troubleshoot and iterate systems, coordinate with AI engineers, and track project timelines and performance.

As an AI Engineer, you will develop and implement internal automation workflows, integrating various tools and APIs to improve productivity in design and development processes, primarily using LangChain and related frameworks.

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

Lead Oyster's data platform and AI strategy, centralize AI initiatives into production systems, build scalable data and MLOps infrastructure, modernize knowledge architecture and semantic search, partner cross-functionally to embed AI into products and workflows, enforce tooling standards and governance, and drive organizational adoption and change management for AI-assisted operations.

Lead development of AI-assisted engineering tooling and infrastructure so agents can autonomously run in cloud dev environments, access CI/CD and internal systems, execute tests, and improve developer productivity through integrations, documentation, and enablement.

Lead AI-first HR operations by auditing HR workflows, designing and deploying AI tools, building people analytics dashboards (headcount, turnover, compensation, DIB), driving adoption, and partnering with HR teams to scale data-driven, measurable solutions.

The role involves evaluating AI-generated content, generating original content, and providing structured feedback informed by local cultural insights while working flexibly as an independent contractor.