Top Artificial Intelligence Jobs in Mexico City

Own end-to-end AI workflows for finance processes, including invoice extraction, transaction matching, policy checks, approvals, ERP posting, and monitoring. Build production-grade LLM, agentic, and RAG systems with reliable APIs, evaluation frameworks, observability, audit trails, and human review. Collaborate directly with customers, finance teams, Product, and Backend Engineering while establishing AI engineering standards and tooling.

Leads the design and development of scalable mobile and web test automation frameworks. Builds automated tests for Android, iOS, hybrid, and web applications; integrates testing into CI/CD pipelines; and applies AI tools to improve productivity, code quality, and testing workflows. Provides technical leadership, mentors engineers, establishes automation standards, collaborates with clients and cross-functional teams, and owns technical initiatives from design through implementation.

Build and optimize cloud-agnostic Databricks Lakehouse architectures and scalable ETL/ELT pipelines using Spark and Delta Lake. Integrate MLflow for AI model operationalization, implement CI/CD and Infrastructure-as-Code deployments, tune performance and cloud costs, and enforce data governance and security. Collaborate with architects, data scientists, engineering teams, and clients to deliver production-ready AI solutions and technical handoffs.

Mercor is offering $5 million in grants for independent researchers, academics, PhD students, and small teams conducting frontier AI safety research. Focus areas include misalignment, sandbox escape, evaluation awareness, interpretability, oversight and control, and red-teaming. Funding may support researcher time, API credits, and conference attendance. Applicants should submit a focused expression of interest describing their team, background, research proposal, outputs, impact, timelines, and resource needs.

Develop and maintain full-stack web applications using TypeScript, React, Node.js, Express, PostgreSQL, AWS, and Docker. Build frontend components, backend APIs, and three-tier architecture solutions; troubleshoot issues across application layers; contribute to architecture, CI/CD, code reviews, and technical best practices. The role requires autonomous problem-solving, ownership of technical challenges, and advanced English collaboration with distributed teams in Mexico, LATAM, and the United States.

Leads complex Kinaxis Maestro supply chain software implementations, including requirements discovery, business process design, advanced configuration, testing, troubleshooting, deployment workshops, and customer training. Applies supply chain planning expertise, mathematical optimization, and AI algorithms to improve customer outcomes. Provides functional leadership, escalation support, mentoring, and guidance to junior consultants while partnering with solution architects and customer stakeholders.

Design and build Clara’s AI-native marketing website, including page templates, components, design systems, prototypes, landing pages, and interactive experiences. Develop agentic workflows for implementation, QA, accessibility, performance, analytics, localization, and releases. Use AI tools daily alongside front-end code, maintain consistent multi-market experiences, support experimentation, and continuously improve conversion, quality, and delivery speed.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Conduct offensive, AI-driven red-team assessments by validating automated attacker decisions, resolving authentication and CAPTCHA challenges, guiding reconnaissance, classifying attack data, and providing feedback to improve security models. The role requires maintaining context across multiple client engagements, making safety-critical judgments, and documenting technical decisions. Candidates need at least one year of relevant experience through work, internships, classes, or projects, plus authorization to work in Mexico without sponsorship.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Reviews and annotates short video and audio clips for AI training and evaluation. Assesses AI-generated descriptions for accuracy, relevance, and appropriateness; applies moderation guidelines; flags uncertain or inappropriate content; identifies inconsistencies; and provides concise feedback. Maintains annotation accuracy and consistency while collaborating remotely, following project instructions, and protecting confidential or sensitive data.

Designs, builds, and operates enterprise conversational agents, custom copilots, and agentic workflows. Integrates AI solutions with Snowflake, SharePoint, and Azure; manages CI/CD deployments and resilient cloud infrastructure; and develops Splunk-based observability, logging, and governance. Provides technical leadership to global teams and uses AI-assisted development tools to improve engineering productivity.

Build and ship features for an AI-powered risk intelligence platform using spec-driven, AI-assisted development. Translate requirements into specifications, direct AI coding agents, review and test generated code, develop backend services and APIs, define acceptance criteria, maintain development standards, and improve CI/CD workflows. The role requires end-to-end feature ownership, strong testing practices, cloud deployment experience, and excellent English communication with a US-based client team.

Build and maintain open source AI integrations, frameworks, SDKs, notebooks, and example applications integrating AI workflows with Backblaze B2 Cloud Storage. Develop production-quality code using multiple open source languages and AI coding agents, contribute to public repositories, and ensure strong testing, documentation, security, reproducibility, and developer usability. Collaborate with Product and QA to support real-world AI workflows.

Create and optimize AI-assisted marketing content across social media, articles, case studies, newsletters, landing pages, and visual formats. Improve visibility in AI search through GEO and AEO, monitor competitors, measure traffic and campaign performance, identify content gaps, prepare marketing reports, and explore automation opportunities. Collaborate with marketing, sales, and leadership teams in a fully remote Latin American environment.

Execute large-scale projects for AI labs and technology companies, managing expert networks, multimillion-dollar portfolios, delivery quality, operational issues, customer communication, and process improvements. The role requires analytical problem-solving, prioritization, ownership, and comfort with ambiguity while collaborating across operations, engineering, and machine learning teams. Candidates may be recent graduates and will work remotely from Mexico City before transitioning to an in-person model.

Create and manage high-quality Spanish and English content across LinkedIn, blogs, websites, video, executive communications, and social channels. Own content projects from concept through publication, collaborate with design and cross-functional teams, monitor internet trends, and maintain high editorial standards. Use AI-native workflows, N8N or custom GPTs, and automation to improve content production. The role also supports video content, leadership communications, B2B fintech storytelling, and performance analysis.

Lead architecture and development of AI-first backend systems and orchestration for Audit Suite. Drive AI integration (LLMs, retrieval, vector stores), ensure scalability, reliability, observability, and compliance. Mentor engineers, lead cross-functional initiatives, shape roadmap and platform integration, and implement high-throughput, low-latency AI workflows across heterogeneous stacks.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Supports risk strategy for one to two credit portfolios by monitoring profitability and risk KPIs, preparing analyses, documenting recommendations, coordinating strategy rollouts, and implementing risk controls. Uses SQL, R, or Python for data extraction, manipulation, modeling, forecasting, and statistical analysis. Partners with Data Science on machine learning and AI models and applies A/B test recommendations to credit policies while communicating findings to stakeholders.

Lead Telepatia AI deployments across Mexico, from implementation planning and clinical configuration through physician adoption and pilot results. Manage deployment plans, metrics, stakeholder relationships, change management, onboarding specialists, and coordination with engineering and integration teams. Build the Mexico deployment playbook, support hospital and health system clients, and translate field learnings into product and commercial improvements.

Leads the architecture and production delivery of AI-powered solutions across technology teams. Designs scalable AI workflows, integrations, observability pipelines, evaluation frameworks, guardrails, and governance standards. Evaluates LLM platforms and agentic technologies, establishes reliability and compliance practices, partners with cloud, security, SRE, product, and data teams, and mentors engineers. Prototypes solutions hands-on and guides ambiguous use cases from concept through production.

Leads a global multidisciplinary AI/ML team while remaining hands-on in architecting, developing, deploying, evaluating, monitoring, and governing production AI solutions. Applies traditional machine learning, deep learning, LLMs, RAG, and agentic AI to complex business problems. Partners with product, engineering, data, platform, and business teams; establishes responsible AI practices; and communicates technical strategy, risks, milestones, and outcomes to senior stakeholders.

Build and ship consumer-facing iOS and Android features using React Native and native mobile technologies. Own features from design through release, monitoring, and maintenance while contributing to architecture modernization, performance optimization, shared tooling, testing, and CI/CD. Use AI-assisted development tools daily and collaborate with product, design, and backend teams. The role requires strong mobile architecture knowledge, production React Native experience, full-stack awareness, and 7+ years of engineering experience.

Lead the architecture, design, development, deployment, and optimization of cloud-native AI applications using C# and .NET on Microsoft Azure. Build ASP.NET Core and Web API solutions, microservices, REST integrations, and secure enterprise systems. Apply CI/CD and DevOps practices, troubleshoot performance issues, integrate generative AI, and mentor developers while managing technical stakeholders.