Top Artificial Intelligence Jobs in Brazil

Develop, enhance, and maintain enterprise application features using AI-assisted tools. Participate in code reviews and improve application performance.

As a Senior AI-Enabled Full-Stack Developer, you will integrate AI into products, design scalable architectures, build full-stack apps, and optimize performance while mentoring peers and collaborating with global teams.

Convert raw workshops, interviews and long-form video into high-volume micro-content, sizzles, courses and high-converting landing/funnel pages using AI tools. Manage asset libraries, QA, reporting, CRM integrations and rapid revisions to meet SLAs.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

The AI Enablement Lead will design and conduct training programs to improve AI fluency within Juniper Square, focusing on tools like Claude and Cowork. Responsibilities include curriculum development, leading sessions, coaching, and measuring adoption outcomes.

Lead engagement with business teams to develop AI-driven internal applications, managing everything from discovery to production and ensuring high adoption post-launch.

Design and build AI-powered applications, create scalable AI pipelines, and integrate AI models into applications while collaborating with teams to deliver products.

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.