[Job- 31069] Senior Generative AI Developer, Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.

AI is already part of how we work, evolve, and innovate every day. We are seeking talented Generative AI Engineers to join our team and build AI solutions that transform how our clients leverage artificial intelligence.

In this role, you'll work at the intersection of software engineering and AI, designing and implementing sophisticated generative AI systems that go beyond simple API integrations.

You'll be responsible for architecting scalable AI applications using cutting-edge platforms (such as AWS Bedrock, Gemini, OpenAI SDK, among others), building RAG (Retrieval-Augmented Generation) pipelines, implementing agentic architectures, and creating intelligent solutions that drive real business value.

As a Generative AI Engineer, you'll collaborate with cross-functional teams including product managers, data scientists, solution architects, and other engineers to translate complex business requirements into production-ready AI systems.

Your work will directly impact product capabilities, user experience, and our clients' ability to innovate with AI technology.

Responsibilities

AI Solution Development & Architecture Design, develop, and deploy production-ready applications using Large Language Models (LLMs), including GPT, Gemini, Claude and other foundation models through AWS Bedrock Build and optimize sophisticated RAG (Retrieval-Augmented Generation) architectures that can process and retrieve information from large-scale document repositories Implement and orchestrate multi-agent AI systems using AWS Bedrock