Top Artificial Intelligence Jobs in Brazil

Design, build, deploy, and optimize scalable AI-powered automations across sales, recruiting, and client success. Deliver 10-15 high-impact automations monthly, own the workflow lifecycle, monitor performance, and drive adoption while ensuring reliability, cost-efficiency, and documentation.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Lead and execute the AI automation strategy, redesign processes for automation, build AI systems, and mentor a high-performing AI team, facilitating cross-functional adoption.

Transform Cursor into an engineering multiplier by optimizing AI-assisted development workflows, auditing AI-generated code, and mentoring developers on AI use in their workflow.

The Social Media & Content Operations Assistant executes content management and lead handling tasks, utilizing structured AI workflows and tools, while maintaining organization and consistency within the operations.

The LATAM Commercial Productivity & AI Specialist will identify and implement AI solutions to enhance business efficiency and decision-making across the LATAM region.

The role involves generating visual concepts using AI tools, collaborating on creative projects, and enhancing design workflows while maintaining brand integrity.

Lead creative excellence at Superside, leveraging AI tools to shape branding and ads while mentoring a global creative team.

The Applied AI Researcher will design experiments, build pipelines, and advance domain-specific AI models, focusing on training, evaluation, and knowledge representation.

Lead research on domain-specific AI models, defining strategies for model lifecycle and evaluation, while mentoring senior researchers and causing impactful outcomes in various sectors.

The Senior Applied AI Researcher will lead end-to-end research projects on agentic AI, focusing on model training, multimodal systems, and mentoring junior researchers while driving rapid prototype deployment to production.

The Principal AI Engineer will lead the design and deployment of AI systems, drive AI strategies, and mentor teams. They require extensive experience in building AI solutions and integrating ML with applications, alongside strong leadership skills.

The AI Lead designs and implements AI solutions for clients, driving client relationships, monitoring success metrics, and collaborating with product teams to enhance customer journeys.

The Sr Principal Product Engineer will manage customer engagements for AI-powered EDA products, bridging technical needs and R&D while developing marketing materials and ensuring successful GTM initiatives.

This role involves leading the development of AI systems for semiconductor design, focusing on full-stack architecture, cloud and on-prem deployment, and mentoring engineers.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

The QA Automation Engineer will enhance testing processes, collaborate with teams to build automated frameworks, and support modern software delivery in a cloud-native environment.

As a Senior Software Engineer, you will design and maintain full-stack applications using .NET and Angular, modernizing legacy systems to microservices and leveraging AI for development efficiency.

The Senior Software Engineer will design and build features for Life360's platform, focusing on localization for the Latin American market while actively using AI tools in the development workflow.

Lead architecture and technical standards for cloud-native, AI-first SaaS products using .NET and microservices. Define DDD/CQRS/event-driven designs, mentor engineers, drive performance, security, observability, and integrate AI-assisted development workflows.

Lead enterprise cloud architecture on Azure, define standards for networking, security, IAM, and resource organization. Guide platform strategy for Snowflake/Databricks, design API-driven AI-ready systems, evolve CI/CD and IaC practices, reduce technical debt, and establish governance and reference patterns for AI-to-production.

Architect and lead development of an AI-first coding platform that enables autonomous agent and human collaboration. Design agentic systems for planning, code generation, testing, deployment, LLM integrations (Claude), function-calling/tool-use, agent orchestration, long-context management, and scalable distributed architectures on AWS. Guide engineering teams and make high-impact architectural decisions across stacks including .NET.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

The role involves stabilizing existing products built by non-technical founders, focusing on fixing bugs, improving performance, and enhancing maintainability across multiple projects.

Design, build, and scale full-stack applications with a backend focus. Build APIs, integrations, and user-facing frontends. Contribute to AI-powered features, system architecture, performance optimization, testing, and code reviews. Collaborate with product and client teams, own features end-to-end, and deliver measurable business outcomes in a remote environment.