Top Artificial Intelligence Jobs in Brazil

Assist clients with AI-related technical issues, providing support, troubleshooting, and collaborating with internal teams to ensure customer satisfaction.

The IA Operations Executive aids in onboarding new client accounts, builds AI assistants, aligns client requirements, and ensures successful implementation processes.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As an AI Software Engineer, you will develop Generative AI solutions, manage full-cycle development, implement MLOps pipelines, and ensure compliance with AI standards.

Lead AI inference and MLOps strategy for a 7MW AI datacenter, optimizing revenue through model selection, workload management, and marketplace integration.

The Senior Consultant delivers data and AI solutions in the Microsoft ecosystem, leading client engagements and implementing data architectures with a focus on Microsoft Fabric.

The Senior AI Engineer will design, develop, and deploy machine learning models for Sezzle's financial platform, focusing on personalization, fraud detection, and credit risk assessment while leading a team and optimizing ML model lifecycles.

Design, prototype and deploy ML/DL solutions (CV, NLP, LLMs) for smart appliances, apps and cloud. Integrate AI into product architectures, validate models, collaborate with global teams and research partners, and scout new AI technologies.

Lead design and implementation of scalable, production-ready AI solutions across products. Automate workflows with AI, build semantic data models and agent-based systems, develop custom LLM skills, apply spec-driven development, define AI integration best practices, and collaborate with product and engineering leadership on AI strategy and adoption.

As an AI/ML Engineer, design and implement AI solutions, collaborate with teams, build ML pipelines, and ensure quality and compliance in healthcare applications.

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

Support research and analysis across real estate and tech, build small prototypes and tools (Python or no-code), collect/clean data, coordinate with local stakeholders, and help move projects from concept to execution in a fast-moving AI startup. Part-time with opportunity for full-time conversion.

Design high-performing paid social, campaign, and landing page creative using AI tools. Build repeatable AI workflows, create multiple creative variants for testing, use performance data to optimize results, and collaborate with copywriters and marketers to maintain brand consistency while scaling creative production.

The Senior Software Engineer will focus on building maintainable AI-enabled software, improving engineering practices, and integrating AI tools into workflows. Responsibilities include collaborating with client teams, enhancing productivity through AI, and participating in architectural decision-making.

Create original, brand-aligned illustrations across campaigns, editorial, social, and digital experiences using traditional craft and generative AI. Develop character systems, iterate quickly from briefs, integrate AI assets while maintaining artistic direction, and collaborate with cross-functional teams to deliver high-quality, consistent visual storytelling at scale.

The Backend Engineer will design and implement AI agents, build scalable backend services, optimize RAG pipelines, and manage vector databases while collaborating with cross-functional teams.

Design, develop, fine-tune, deploy, and monitor generative AI and ML models; build data pipelines and integrations; implement automation and agentic systems using tools like LangChain and REST APIs; evaluate emerging AI tools; collaborate with cross-functional teams and mentor junior engineers.

Own post-sale AI customer journey: lead multiple AI implementation projects, manage timelines and risks, coordinate engineering/data teams, drive customer relationships, identify expansion opportunities, and improve delivery processes and playbooks.

The Principal AI/ML Architect leads client engagements, advising on ML architecture and strategies, overseeing ML systems, and ensuring technical quality for diverse customer needs with a focus on AWS technologies.

Rate and review AI-generated dubbed media for Portuguese (Brazil) and Italian audiences. Evaluate understandability, prosody, voice similarity, audio quality, and text-speech alignment using an AI platform. Complete language assessments and a client test, work ~20 hours/week remotely, and collaborate with a global team to improve synthetic speech quality.

Design, build, and scale production-grade, stateful autonomous AI agents; integrate agents into payments, fraud, and core product systems; implement LLMOps, observability, and evals-as-code; optimize RAG/vector DB pipelines for performance and cost; handle containerization, CI/CD, and post-launch stability; mentor engineers and drive best practices.

Design, build, and scale production-grade, stateful autonomous AI agents for a WhatsApp-based fintech. Implement LLMOps, observability, RAG/vector DBs, containerized deployments (Docker/Kubernetes), eval pipelines, cost/performance optimizations, and mentor engineers to ship robust, tested agentic systems integrated with payments, fraud, and core product infrastructure.

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.

Design, build, and scale production-grade, stateful AI agent systems integrated into core product flows. Implement LLMOps, observability, containerized CI/CD deployments, RAG/vector DBs, evaluation pipelines, performance/cost optimizations, and mentor junior engineers.

The role involves auditing and evaluating AI chatbot conversations to improve communication quality, requiring a degree in translation or linguistics and native-level Brazilian Portuguese fluency.