Top Artificial Intelligence Jobs in Brazil

The AI Engineer will develop, deploy, and optimize AI solutions using Google's Gemini, working with machine learning models and data pipelines in a client-focused environment.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

The AI Product Manager will own and scale the Agentic Development product, expand capabilities, drive adoption, and reduce development lead times through cross-functional collaboration and communication.

The Lead Software Engineer will build automated frameworks, develop validation strategies, collaborate with R&D, and ensure software quality for AI-driven systems.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

The role involves owning and improving the technology infrastructure at Darkroom, focusing on Notion systems, automations, AI workflow optimization, and technology advisory. Responsibilities include database maintenance, workflow design across tools, and enhancing operational efficiency through experimentation with AI.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The role involves capturing high-quality video of everyday household tasks to help train AI systems, adhering to strict guidelines and quality standards.

Design and prototype AI-assisted product solutions and user flows for monetization in the gaming industry. Validate ideas through user testing and analytics while collaborating with product and engineering teams.

Interns will develop and customize solutions on Salesforce, support API integrations, participate in agile projects, and learn AI applications in development.

The Jr. AI Automation Engineer will design, build, and maintain automated workflows for various business processes, utilizing AI tools and Python.

Lead the design and development of AI-centric software for cybersecurity, mentoring junior engineers and promoting best practices in a collaborative environment.

Lead Machine Learning Engineer to execute complex AI research, optimize architectures for production use, and mentor team members, focusing on scalable financial solutions.

Transform business ideas into production-ready applications, specializing in frontend development with modern frameworks and AI design tools, while ensuring accessibility and performance standards are met.

The Lead AI Product Engineer will guide a team in delivering end-to-end AI solutions, mentoring engineers while ensuring quality and fostering a culture of speed and efficiency.

As an AI Product Engineer, you will design and implement AI-driven user interfaces, collaborate with teams to address client needs, and evolve AI UX patterns.

The AI Operations Specialist will manage automation requests, develop analytics dashboards, and drive AI agent adoption within the operations team.

The Senior AI/ML Engineer will architect and develop AI/ML solutions, collaborate with teams, and ensure deployment compliance, especially in healthcare.

As an AI Innovation Engineer, you'll analyze complex datasets for business insights, build predictive models, and ensure data integrity in a cross-functional team environment.

The AI DevX Engineer will analyze complex datasets, develop predictive models, ensure data quality, and deploy data-driven strategies in credit risk, fraud prevention, and churn reduction.

The AI Success Strategist will lead AI adoption roadmaps, align cross-functional teams, drive customer success, and measure impact on business metrics such as retention and satisfaction.

Contribute to design and delivery of AI-powered platforms and features, build full-stack components, integrate AI into products and workflows, support production systems, collaborate cross-functionally, and participate in code reviews and incident response.

The AI Engineer Specialist will research, design, and develop generative AI models, collaborate with teams, and optimize deep learning architectures.

Lead identification and delivery of high-impact AI initiatives in finance. Advocate AI adoption, translate business needs into AI use cases, collaborate to design and deploy AI/ML solutions, and ensure responsible AI governance and compliance across finance processes.

Lead the engineering team at Luna Joy, designing scalable software solutions and mentoring junior engineers while ensuring system performance and compliance with regulations.