Top Artificial Intelligence Jobs in Brazil

As a Forward Deployed Engineer, you'll build production AI systems, design data infrastructure, and develop ETL/ELT pipelines, collaborating directly with clients to solve complex problems.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

The AI Research Engineer will innovate in model compression for multimodal AI systems, focusing on reducing model size and computational cost while ensuring high performance across edge devices.

The AI Research Engineer will optimize model serving, enhance inference architectures, and improve performance in real-world AI applications with a focus on low-resource devices.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

The role involves designing and implementing AI-based automation workflows, optimizing operational costs, and collaborating with teams to enhance automation systems.

The AI & Automation Engineer will build and optimize AI agents, integrate data sources, and develop APIs and microservices while ensuring best coding practices.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

As a Senior AI Platform Engineer, you'll maintain and evolve ML infrastructure for scalable AI applications, drive MLOps best practices, and collaborate effectively across teams to standardize engineering excellence.

The AI Operations Engineer will build and maintain AI-powered tools for operations, collaborate with stakeholders, and handle multiple daily software releases.

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 Implementation Specialist will design, build, and deploy AI-powered systems for B2B clients, focusing on automation and scalability across sales and operations.

The role involves building AI-powered backend systems, creating APIs, designing solutions, and enhancing existing systems while ensuring strong problem-solving and communication skills.

Lead the discovery of automation opportunities across business workflows and produce a structured roadmap for implementation in collaboration with technical teams.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

The AI Solutions Engineer will build AI-powered prototypes, design workflows, and integrate LLMs into public sector solutions while collaborating with teams to enhance project impact.

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.

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 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.

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.

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.