Top Artificial Intelligence Jobs in Brazil

The AI Ops Business Analyst will identify and implement automation opportunities to enhance efficiency in AI operations, collaborating with engineering and IT teams.

As a Senior Scientist - Collaborations Manager, you will manage scientific collaborations, drive joint projects, and maintain expertise in CT applications while translating research into impactful publications.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

Lead the engineering execution of Assist Agents, focusing on architecture, scalability, and integration for real-time AI interactions. Mentor engineers, manage technical direction, and ensure long-term success of the product.

The Product Manager will develop features, manage product processes, track success metrics, and collaborate closely with design and engineering teams, while maintaining quality and adapting to priorities.

The Senior Business Analyst will facilitate requirement gathering, document business needs into clear requirements, support pre-sales, and contribute to project delivery.

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.

Seeking a Senior AI Engineer to build production-ready AI systems focusing on agentic AI and large language models, working with a variety of technologies.

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.

The AI Solutions Architect will lead the development of GenAI and agentic AI solutions, focusing on architecture design, presales activities, and ensuring scalable, secure solutions that meet business needs.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The Senior AI Engineer will architect and develop AI systems for payment orchestration, focusing on LLMs, AI product development, and optimization of AI solutions and workflows. Collaboration across teams is essential to drive innovation and efficiency.

Lead AI system design and implementation for client agencies, optimize workflows and processes, and train clients on adoption and scaling.

The AI Automation Developer will create business automation systems using Next.js and MongoDB, integrate APIs, and collaborate with clients to identify automation opportunities.

The Generative AI Engineer role involves tuning AI models, collaborating on project requirements, conducting research, optimizing existing models, and documenting technical specifications.

The AI Solutions Architect will lead pre-sales efforts, engage clients, and develop tailored AI/ML systems while providing technical guidance throughout implementation.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

The Full Stack Engineer will design, develop, and maintain applications while leveraging AI tools for improved workflows and UX evaluation.

The Agentic AI Expert will improve Broadcom's Maverick Platform by evaluating, refining, and developing workflows for autonomous agents in Kubernetes-based environments.

Lead the engineering of AI initiatives, architect stacks, prompt engineer LLMs, and mentor engineers. Work closely with cross-functional teams to deliver products from concept to production.

The AI Operations Director leads the design and implementation of AI systems for service agencies, diagnosing operational issues and enhancing workflows without requiring headcount increases.

Develop and deploy full-stack applications focusing on AI-augmented development, using React and TypeScript, while architecting scalable APIs and collaborating with teams.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

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.

Conduct AI research to advance GenAI capabilities, design algorithms, integrate findings into products, and publish research. Lead cross-functional collaborations.