Top Artificial Intelligence Jobs in Brazil

As an AI Product Manager, you'll translate public sector needs into actionable solutions, manage product lifecycles, and ensure successful delivery outcomes while collaborating with diverse teams.

Identify high-volume business workflows and design, prototype, and ship AI agents and automated workflows using low-code/no-code LLM tooling. Run discovery with stakeholders, maintain a prioritized automation backlog, enable teams through workshops, templates, and training, and deliver production-ready solutions with documentation and handoffs.

Support AI solution development by contributing to AI assistants and agents, testing output quality, evaluating feedback, and communicating progress. Work hybrid from Campinas, 6 hours/day for a minimum one-year internship while pursuing a relevant technical university degree.

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Review and rate AI-generated dubbed media for Portuguese (Brazil) and French (France) audiences. Evaluate understandability, naturalness, prosody, voice similarity, audio quality, and text-speech alignment using an AI platform. Complete language assessments and client test, work ~20 hours/week remotely, and collaborate with the global team to refine synthetic speech.

As a Senior Technical Product Manager at LumiMeds, you will lead the development of AI-powered healthcare products, optimize e-commerce and clinical workflows, and ensure technical and commercial success of the platform.

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

Lead the design and delivery of AI-powered tools that transform creative workflows, integrating AI models and automating processes for enterprise clients.

The AI Engineer II will lead the design and development of AI-powered platforms for marketing. Responsibilities include project ownership, integrating AI capabilities, and mentoring team members.

As an AI Engineer I, you will design and develop AI systems, working closely with senior engineers to enhance customer experiences and improve productivity.

As an AI Engineer I, you will assist in developing AI-powered platforms, enhance customer experience, and contribute to production-ready systems while collaborating with senior engineers.

The Sr. AI Engineer will design, develop, and deploy machine learning models for financial services, collaborating with product teams and mentoring staff, while ensuring robust ML infrastructure on AWS.

Contribute to design, build, and ship AI-powered full-stack systems and automation. Own end-to-end delivery, integrate AI into products and workflows, support production systems, participate in incident response, and collaborate across teams.

The Sr. AI Engineer will design, develop, and deploy scalable machine learning models for Sezzle's financial platform, focusing on personalized recommendations, fraud detection, and credit risk assessment, while mentoring team members and collaborating across departments.

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 II will design and develop AI-powered platforms, enhancing internal systems and customer experiences while leading project delivery and collaborating across teams.

The Program Manager oversees high visibility projects, ensuring alignment across teams, managing customer relationships, and nurturing team leaders while driving growth and delivery excellence.

The GTM Engineer will design and build automated systems for the company's go-to-market engine, focusing on revenue technology and AI capabilities across various teams and markets.

Contract developer will use Claude Code to implement and refine AI-native features, translate specs into production-ready TypeScript/React code, review and improve AI-generated code, write automated tests, document APIs and architecture, and identify technical debt while meeting milestones.

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

Lead design, build, and deploy AI-enabled React web applications and agentic solutions on AWS. Translate Figma designs to production SPAs, create AI agents and MCP server integrations, develop secure REST APIs, and operationalize CI/CD, testing, and observability. Mentor teams and drive prototypes to hardened production.

Lead end-to-end production of 9:16 short drama series (1–2 series concurrently). Direct, script, edit, and finish 10–15 one-minute episodes plus trailers, collaborate with AI copilots and content teams, and iterate quickly using AI generation tools to optimize storytelling and character consistency.

Lead identification, design, deployment, and measurement of AI-powered automation across operations. Build agent and workflow automations, partner with Product/Engineering/Commercial, create dashboards in Metabase, close data gaps, document processes, and evangelize AI tooling to increase operational efficiency.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.