Top Artificial Intelligence Jobs in Brazil

The role involves participating in various aspects of AI development, including foundational tasks for AI progress. Responsibilities are geared towards innovative uses of data and technology in AI systems.

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

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

This role involves leading the design and implementation of automation solutions to improve operational efficiency, collaborating across departments, and ensuring secure handling of data.

As an AI Microservices Developer, create Python-based API microservices using LLMs for business automation and collaborate with cross-functional teams for integration and deployment.

Lead the architectural direction and execution of AI projects, mentoring engineers, and collaborating with various teams to develop scalable AI solutions.

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.

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.

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.

Lead the development of AI-powered fullstack systems, collaborate with engineers, and ensure robust architecture and coding practices.

The Product Owner will lead AI feature delivery for SaaS products, translating business needs into technical requirements while enhancing user experience and business performance.

As a Senior Backend Engineer at Speechify, you'll optimize infrastructure, ensure scalability, and manage text-to-speech systems, contributing to AI advancements.

As a Senior Backend Engineer, you'll focus on voice cloning, text-to-speech efficiency, and ensuring scalable infrastructure. Lead with strategic product decisions and optimize application flows.

As a Senior Backend Engineer, you'll optimize product flows, scale infrastructure, and manage end-to-end systems for AI in text-to-speech services.

As a Senior Backend Engineer, you'll ensure scalable infrastructure, optimize product flows, and build resilient systems, focusing on voice cloning and text-to-speech technologies.

As a Senior Backend Engineer at Speechify, you will focus on backend development, ensuring scalability and optimizing product flows, while deploying AI models efficiently.

As a Senior Backend Engineer, you'll focus on optimizing infrastructure, implementing voice cloning, and deploying scalable applications with a strong emphasis on backend development.

As a Senior Backend Engineer at Speechify, you'll optimize product flows, ensure efficient infrastructure, and handle state-of-the-art voice cloning and text-to-speech processes.

The Senior Backend Engineer will ensure efficient scaling of infrastructure, optimize product flows, and construct resilient systems while managing AI model serving for text-to-speech technology.

As a Senior Backend Engineer, you will focus on optimizing infrastructure and product flows, implementing state-of-the-art voice cloning and managing efficient text-to-speech systems.

The Senior Backend Engineer will optimize infrastructure, enhance product flows, and develop resilient systems, focusing on voice cloning and text-to-speech.

As an Application Engineer, you will support digital verification and simulation flows, use Cadence tools, apply Agentic AI, automate processes, and enhance customer adoption.