61 AI Engineer jobs in Brazil available for remote work from home. Apply for positions such as AI Engineer, Senior AI Engineer, Agents, AI Engineer (GenAI Platform) - Mid Level and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
The role involves designing clinical ontologies and building evaluation frameworks for production AI agents. You will also train, fine-tune, and maintain LLM-based systems within clinical workflows.
Design and develop generative AI services and multi-agent systems to support global product and engineering teams. Implement LLMOps practices, including monitoring, observability, cost governance, and data pipeline maintenance.
You will own the end-to-end development of the AI cost visibility product, from designing Go backend services to building React interfaces. You are expected to work in an AI-augmented manner, defining features and iterating based on customer needs and measurable impact.
Own the end-to-end development of AI cost visibility features, from design and implementation to release and monitoring. Collaborate with the R&D team to build scalable backend services and intuitive user interfaces while leveraging AI-augmented workflows.
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Own the AI cost visibility product end-to-end, from backend Go services to React frontend interfaces. Proactively design features, monitor performance, and iterate based on customer needs and FinOps domain expertise.
You will embed with strategic customers to design, prototype, and operationalize full-stack AI/ML applications and agentic systems. Additionally, you will advise customer leaders on AI architecture and codify successful solution patterns into repeatable reference architectures.
You will embed with intelligence analysts to build AI-powered products, tooling, and infrastructure that scale intelligence collection. You will own the end-to-end development of internal applications, including back-end services, APIs, and custom agentic solutions.
You will design, develop, and evolve solutions based on Generative AI and AI Agents, managing the lifecycle from experimentation to production. You will also lead technical initiatives and define architectures to transform complex business challenges into scalable, intelligent applications.
![CI&T is hiring for remote [Job-30817] Senior AI Engineer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
You will design and build intelligent AI agents and advanced architectures to deliver scalable, production-ready solutions. The role involves leveraging Generative AI across the entire product development lifecycle, from initial requirements to continuous monitoring and optimization.
Design, build, and operationalize production-ready AI and machine learning systems to solve complex enterprise business problems. Collaborate with cross-functional teams to implement robust AI patterns and contribute to reusable engineering standards and accelerators.
The role involves designing and building scalable, cloud-native SaaS applications while integrating advanced AI and autonomous agent technologies. You will provide technical leadership, guide architectural decisions, and collaborate with cross-functional teams to deliver high-performance solutions.
Design, build, and operate production services that enable AI agents to interact with real-world systems like email, payments, and web browsing. Collaborate with product and engineering teams to define reliable interfaces and workflows for agent tool use.
Provide technical support and guidance for ClickHouse and Langfuse users across various channels while maintaining service level agreements. Collaborate with engineering and product teams to resolve issues, develop documentation, and contribute to the overall improvement of support processes.
You will own the end-to-end AWS enterprise architecture and lead the operational team in technical direction and hands-on development. Additionally, you will design and orchestrate AI agents to automate delivery and modernize legacy systems while maintaining client-facing architectural standards.
You will design and build scalable systems, including human-in-the-loop platforms and data infrastructure for AI training. You will own projects end-to-end while collaborating with research and product teams to ship high-quality features.
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Design and ship AI-powered backend services and APIs while ensuring reliability, latency, and cost-efficiency. Monitor production systems, review code, and facilitate the transition of AI models from experimentation to production.
Design and develop intelligent agents based on LLMs to automate complex commerce and payment workflows with scalability and security. Integrate these agents with payment gateways, APIs, and financial systems while implementing robust observability and testing frameworks.
You will build, integrate, and ship AI-powered features while raising the team's delivery speed through AI-accelerated engineering practices. Additionally, you will design and document system components, workflows, and integration layers to ensure scalability and performance.
You will design and build the data foundation and LLM-powered intelligence layer to transform creative strategy into a data-driven process. This includes managing end-to-end features, from data pipelines and search layers to the web-based dashboards and interfaces.
Design and ship AI-powered backend services and APIs while ensuring reliability, latency, and cost-efficiency. Instrument production systems, monitor performance metrics, and collaborate across teams to transition experiments into production.
The role involves co-creating and deploying production-ready GenAI and agentic AI solutions to solve urgent client business challenges. You will translate use cases into technical architectures, prototype solutions, and ensure they are scalable, governed, and deliver measurable business value.
Design and maintain scalable backend architectures using Python while integrating generative AI technologies into client products. Collaborate with stakeholders to gather requirements and ensure high code quality through best practices and documentation.
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The role involves embedding with client teams to diagnose operational friction and redesign workflows using AI-powered solutions. You will build functional prototypes and establish operating models to drive technology adoption and measurable ROI.
The role involves mapping and redesigning creative workflows to build AI-powered pipelines within real production environments. You will integrate AI tools into existing marketing technology stacks and establish governance frameworks for brand safety and adoption.
Design, develop, and deploy Generative AI solutions using LLMs and multimodal technologies. Build scalable AI applications and optimize RAG architectures while ensuring compliance with AI governance and security standards.
Lead end-to-end AI tasks and guide the engineering team's architecture to improve scalability and stability. Collaborate with product teams to translate business needs into efficient, maintainable, and creative technical solutions.
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