Top Artificial Intelligence Jobs in Brazil

Design, build, and maintain API-based integrations that connect LLM/AI services with SaaS, databases, and enterprise systems. Implement MCP or similar frameworks, develop data exchange pipelines, ensure reliability/security/performance, troubleshoot cross-system issues, and collaborate with platform and product teams to deploy production-ready AI integrations.

The AI Specialist responds to customer inquiries, troubleshoots tech issues related to AI, and collaborates with teams for client satisfaction.

The AI-Enabled Fullstack Engineer will develop an AI guidance platform for educators, owning features from database to deployment and collaborating with product management.

As an AI Engineer at SINAI, you'll integrate LLM-powered features, develop AI workflows, and collaborate with cross-functional teams to enhance the platform's capabilities.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.

Review, rank, repair, and refactor AI-generated code to improve correctness, performance, and style. Provide detailed written feedback and edits for RLHF pipelines, converting expert judgments into signals used to train models. Work asynchronously as a remote 1099 contractor.

Seeking a Senior .NET Software Engineer to modernize a healthcare platform using GenAI. You will develop backend systems, implement AI solutions, and mentor the team on AI best practices.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

The Data Analyst will enhance the AI chatbot performance by analyzing metrics, conducting quality control, collaborating on experiments, and automating data evaluations, focusing on improving user experiences for Latino immigrants.

The Data Analyst for AI will improve chatbot performance through data analysis, model optimization, and collaboration with engineering teams to enhance user experience.

The Data Analyst will oversee AI performance metrics, conduct quality control on chatbot interactions, and collaborate on data modeling for AI improvements, focusing on enhancing the user experience for Latino immigrants.

As a Full-stack Developer, you will design and maintain full-stack applications, develop APIs, optimize database queries, implement Azure services, and mentor team members.

The AI Engineer will develop and deploy AI agents for financial applications, enhance LLM capabilities, and integrate with cross-functional teams.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

The AI Engineer will design, build, and deploy scalable AI agents, focusing on enhancing a WhatsApp-based platform while integrating sophisticated systems for diverse functions.

The AI Engineer will design, build, and scale autonomous AI agents for the WhatsApp platform, integrating AI into financial services for Latin immigrants. Responsibilities include development of AI agents, integration, evaluation of LLMs, and prompt engineering.

Design and implement an AI-powered portfolio to surface real execution status across teams, build automatable workflows (GitHub, Monday, Markdown, AI agents), improve visibility, prioritization and risk detection, promote governance and ensure project information stays updated and accessible across engineering, data, IT, security, product and business stakeholders.

The AI Success Strategist manages customer AI roadmaps, ensuring strategic alignment and maximizing business impact by driving AI adoption and operational excellence. Responsibilities include designing AI deployment, engaging stakeholders, tracking metrics, and advising on ethical AI practices.

As a Software Engineer on the Operational AI team, you will develop solutions for onboarding customers and enhance AI agent platforms, ensuring high-quality software development.

As an AI Engineer, you'll design and implement AI solutions, lead project execution, collaborate with teams, and stay current with AI technologies to enhance business outcomes.

Lead AI-augmented full-stack development from concept to production: define architecture and design-system standards, integrate Figma with AI tooling, oversee backend and auth strategies, manage Jira workflows, mentor developers, and collaborate with cross-functional teams to deliver scalable, secure enterprise applications.