Top Artificial Intelligence Jobs in Brazil

Lead AI-augmented full-stack development from concept to production: define architecture and design-system standards, integrate Figma with AI tooling, oversee backend and auth strategies, manage Jira workflows, mentor developers, and collaborate with cross-functional teams to deliver scalable, secure enterprise applications.

The role involves leading system design, ensuring technical excellence, mentoring team members, and collaborating with multiple teams to drive impactful AI solutions.

Lead a distributed team of risk consultants, data scientists, and analysts to deliver fraud detection strategies, ML models, rules, and analytics. Manage multiple client engagements, align technical delivery with product and engineering, mentor staff, and drive measurable client value in financial risk and fraud prevention.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

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.

As a Lead Full-Stack Software Engineer, you'll code extensively, develop front- and back-end solutions, collaborate with teams, and solve technical challenges.

Responsible for full-cycle recruiting for senior AI roles with a focus on sourcing talent in LATAM and Europe, managing pipelines, and closing candidates.

Develop and maintain WordPress websites, integrate APIs, and create AI-driven solutions using tools like OpenAI and n8n.

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

Join Omilia as an AI GTM Engineer to build AI-powered workflows, manage integrations, and collaborate with Marketing and Sales to enhance productivity in revenue operations.

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 Senior Technical Program Manager will oversee AI technology implementation projects, coordinate cross-functional teams, manage risks, and ensure alignment with business goals while enhancing internal tooling.

Autonomously design and implement backend systems using Node.js/TypeScript with a product mindset. Leverage AI tools to accelerate development while maintaining strong architecture, testing, CI/CD, and release practices. Build POCs, influence system design, improve QA processes, and help evolve AI-augmented SDLC for high-velocity international projects.

Design and implement backend systems in Node.js/TypeScript with product-oriented ownership. Build POCs, influence architecture, integrate AI tools to accelerate development, and improve QA, testing, and CI/CD to maintain release stability and reduce technical debt.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

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 architecture and design of cross-team AI systems, define engineering and operational best practices, ensure reliability and scalability, drive LLM and AWS-based solutions, mentor engineers, and represent technical expertise in hiring and community events.

Own and build Python-based microservices and scalable AI tooling end-to-end. Design, deploy and debug distributed, cloud-native solutions (IaC, Kubernetes, serverless). Measure impact with metrics, troubleshoot complex cross-environment issues, and iterate proactively to deliver resilient, production-ready systems.

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Implement AI-driven features, automation, and orchestration, integrate AI into customer-facing and internal products, ensure reliability/security/auditability, support production incidents, and mentor teammates.

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 and build AI-powered applications, create scalable AI pipelines, and integrate AI models into applications while collaborating with teams to deliver products.

Join the AI Special Forces team to provide high-quality customer support, troubleshoot technical issues, and collaborate with teams to enhance client satisfaction with AI technologies.

You will onboard new accounts, support clients with AI tools, and assist in enhancing their business through technology.

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

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.