Top Artificial Intelligence Jobs in Mexico

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.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Senior Data Analyst responsible for analyzing large datasets, designing scalable databases, applying ETL and artificial intelligence techniques, automating workflows, improving processes, generating reports, and coordinating technical projects from planning through closure. The role requires SQL Server, Azure Data Tools, Python, database design, data management, automation, and strong leadership and project coordination skills.

Owns AI sales quotas across a Zendesk territory, partnering with account executives to prospect, demonstrate, and close AI solution deals. Builds customer relationships, leads AI proofs of concept, identifies expansion opportunities, supports commercial modeling, and provides usage and automation guidance. Acts as an AI subject matter expert, enabling sales teams, communicating product updates, and tailoring AI Agent demonstrations for contact-center customers.

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.

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.

Build and ship end-to-end product features across React frontends and Django backends. Design data models, RESTful APIs, responsive user interfaces, and algorithmic or AI-driven logic involving scoring, ranking, and decision rules. Optimize performance through efficient queries and caching, write production-ready code, and work independently with a distributed startup team. Experience with GCP, Redis, Docker, Kubernetes, React Native, or AI coding assistants is advantageous.

Design and operate AWS cloud infrastructure supporting AI products. Build infrastructure-as-code and CI/CD automation, integrate Claude and production LLM services, administer highly available PostgreSQL databases, and implement security, secrets management, monitoring, backups, and failover. Collaborate with Cloud/SRE and compliance teams to standardize architecture and meet fintech regulatory requirements.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features. Build React frontend functionality, develop agent-driven engineering workflows, create internal tooling and prompts, optimize performance, and establish AI-native software development practices. The role includes end-to-end feature ownership, cross-functional product contribution, and eventual leadership of a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features. Build React frontend functionality, develop agent-driven coding workflows, create internal engineering tools, optimize performance, and establish AI-native development practices. The role owns work end to end in an autonomous remote environment and may eventually lead a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features. Build React frontend experiences, develop agent-driven engineering workflows, and create internal tools that improve development speed and quality. The role owns work end to end, optimizes performance, establishes AI-native development practices, and may eventually lead a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features. Build React frontend experiences, develop agent-driven engineering workflows, create internal AI tooling, optimize performance, and establish AI-native development practices. The role owns work end to end in an autonomous remote environment and may eventually lead a small engineering team.

Architect and evolve scalable SaaS backend systems, APIs, frontend features, and AI-assisted services. Build agent-driven development workflows, internal engineering tools, and prompt systems while optimizing performance and defining AI-native software practices. Own features from ideation through production, collaborate asynchronously, and eventually lead a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features. Build React frontend experiences, develop agent-driven engineering workflows, create internal tools and prompt systems, optimize performance, and establish AI-native development practices. The role owns work end to end in an autonomous remote environment and may eventually lead a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features across Scala, React, AWS, and PostgreSQL. Build frontend capabilities, internal developer tools, and agent-driven coding workflows using tools such as Claude Code and Codex. Improve engineering velocity, performance, and AI-native development practices while owning features end to end and eventually leading a small engineering team.

Architect and evolve backend systems, scalable APIs, SaaS features, frontend applications, and AI-assisted services. Build agent-driven development workflows, internal engineering tools, prompts, and AI-native practices. Own features end to end, optimize performance, and collaborate asynchronously in a highly autonomous environment. The role may eventually lead a small engineering team and influence how software is designed and developed with AI.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and full-stack SaaS features. Build React frontends, develop agent-driven engineering workflows, create internal tooling and prompt systems, optimize performance, and establish AI-native software development practices. The role offers broad ownership from ideation through production and may eventually lead a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features across Scala, React, AWS, and PostgreSQL. Build agent-driven development workflows, internal engineering tools, prompts, and AI-native practices. Own work from ideation through production, optimize system performance, and eventually lead a small engineering team. The role emphasizes autonomy, asynchronous collaboration, ambiguity, and improving how engineers work with AI.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and full-stack SaaS features. Build React frontends and Scala-based services, create agent-driven development workflows and internal engineering tools, optimize performance, and establish AI-native software practices. The role includes end-to-end feature ownership, autonomous product development, cross-functional collaboration, and eventual leadership of a small engineering team.

Architect and evolve backend systems, scalable APIs, AI-assisted services, and SaaS product features using Scala, React, AWS, and related technologies. Build agent-driven development workflows, internal engineering tools, prompts, and AI-assisted coding systems. Own features end to end, optimize performance, establish AI-native engineering practices, and eventually lead a small engineering team.

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.

Lead backend architecture for a large-scale distributed platform, designing scalable APIs, microservices, integrations, data workflows, and cloud infrastructure. Drive decisions around performance, availability, security, observability, and resilience while collaborating with product, cloud, and AI teams. Provide technical leadership, mentor engineers, resolve critical incidents, and improve production systems. Requires extensive backend development experience, distributed systems expertise, cloud experience, and proficiency in TypeScript, Python, or Java.

Develop, design, and troubleshoot software components as part of an agile team. Write secure, high-quality code, apply SDLC and automation tools, analyze data to identify issues, and contribute to system stability and scalability while learning cloud, AI/ML, and mobile technologies.

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.