[Job- 31057] Master Generative AI Developer, Brazil

Job description

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 Agents and AgentCore frameworks Design scalable AI pipelines that integrate with enterprise systems and maintain performance at production scale Backend & Infrastructure Development Develop robust backend services and APIs for AI applications using Python and modern frameworks Implement containerization and deployment strategies for AI applications Build monitoring and observability solutions to track AI system performance, quality, and costs Prompt Engineering & Model Optimization Design and optimize high-quality prompts and templates that guide LLM behavior and responses Implement advanced prompt engineering techniques to maximize model performance and accuracy Evaluate and fine-tune models for specific use cases when appropriate Continuously experiment with different model configurations, hyperparameters, and architectures Collaboration & Innovation Partner with vertical areas and stakeholders to understand requirements and translate them into technical solutions Stay current with the latest advancements in generative AI research and evaluate emerging foundation models Contribute to technical documentation, best practices, and knowledge sharing within the team Participate in Sales initiatives related to Generative AI Requirements: Prefered Skills Strong years of professional software engineering experience Full-stack development experience Hands-on experiencewith Large Language Models (LLMs) and foundation model APIs Agentic Architecture & Implementation (e.g., LangChain, LlamaIndex, CrewAI, AutoGen) Prompt engineering and optimization techniques Data consumption for agentic with Vector databases (e.g., Pinecone, Weaviate, OpenSearch) and embedding models or Knowledge Graph Knowledge of DevOps practices and CI/CD pipelines for AI applications Knowledge of Python with experience in modern frameworks and libraries #LI-LO1 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 Agents and AgentCore frameworks Design scalable AI pipelines that integrate with enterprise systems and maintain performance at production scale Backend & Infrastructure Development Develop robust backend services and APIs for AI applications using Python and modern frameworks Implement containerization and deployment strategies for AI applications Build monitoring and observability solutions to track AI system performance, quality, and costs Prompt Engineering & Model Optimization Design and optimize high-quality prompts and templates that guide LLM behavior and responses Implement advanced prompt engineering techniques to maximize model performance and accuracy Evaluate and fine-tune models for specific use cases when appropriate Continuously experiment with different model configurations, hyperparameters, and architectures Collaboration & Innovation Partner with vertical areas and stakeholders to understand requirements and translate them into technical solutions Stay current with the latest advancements in generative AI research and evaluate emerging foundation models Contribute to technical documentation, best practices, and knowledge sharing within the team Participate in Sales initiatives related to Generative AI Requirements: Prefered Skills Strong years of professional software engineering experience Full-stack development experience Hands-on experiencewith Large Language Models (LLMs) and foundation model APIs Agentic Architecture & Implementation (e.g., LangChain, LlamaIndex, CrewAI, AutoGen) Prompt engineering and optimization techniques Data consumption for agentic with Vector databases (e.g., Pinecone, Weaviate, OpenSearch) and embedding models or Knowledge Graph Knowledge of DevOps practices and CI/CD pipelines for AI applications Knowledge of Python with experience in modern frameworks and libraries #LI-LO1 Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side. 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 Agents and AgentCore frameworks Design scalable AI pipelines that integrate with enterprise systems and maintain performance at production scale Backend & Infrastructure Development Develop robust backend services and APIs for AI applications using Python and modern frameworks Implement containerization and deployment strategies for AI applications Build monitoring and observability solutions to track AI system performance, quality, and costs Prompt Engineering & Model Optimization Design and optimize high-quality prompts and templates that guide LLM behavior and responses Implement advanced prompt engineering techniques to maximize model performance and accuracy Evaluate and fine-tune models for specific use cases when appropriate Continuously experiment with different model configurations, hyperparameters, and architectures Collaboration & Innovation Partner with vertical areas and stakeholders to understand requirements and translate them into technical solutions Stay current with the latest advancements in generative AI research and evaluate emerging foundation models Contribute to technical documentation, best practices, and knowledge sharing within the team Participate in Sales initiatives related to Generative AI Requirements: Prefered Skills Strong years of professional software engineering experience Full-stack development experience Hands-on experience with Large Language Models (LLMs) and foundation model APIs Agentic Architecture & Implementation (e.g., LangChain, LlamaIndex, CrewAI, AutoGen) Prompt engineering and optimization techniques Data consumption for agentic with Vector databases (e.g., Pinecone, Weaviate, OpenSearch) and embedding models or Knowledge Graph Knowledge of DevOps practices and CI/CD pipelines for AI applications Knowledge of Python with experience in modern frameworks and libraries #LI-LO1 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 Agents and AgentCore frameworks Design scalable AI pipelines that integrate with enterprise systems and maintain performance at production scale Backend & Infrastructure Development Develop robust backend services and APIs for AI applications using Python and modern frameworks Implement containerization and deployment strategies for AI applications Build monitoring and observability solutions to track AI system performance, quality, and costs Prompt Engineering & Model Optimization Design and optimize high-quality prompts and templates that guide LLM behavior and responses Implement advanced prompt engineering techniques to maximize model performance and accuracy Evaluate and fine-tune models for specific use cases when appropriate Continuously experiment with different model configurations, hyperparameters, and architectures Collaboration & Innovation Partner with vertical areas and stakeholders to understand requirements and translate them into technical solutions Stay current with the latest advancements in generative AI research and evaluate emerging foundation models Contribute to technical documentation, best practices, and knowledge sharing within the team Participate in Sales initiatives related to Generative AI Requirements: Prefered Skills Strong years of professional software engineering experience Full-stack development experience Hands-on experience with Large Language Models (LLMs) and foundation model APIs Agentic Architecture & Implementation (e.g., LangChain, LlamaIndex, CrewAI, AutoGen) Prompt engineering and optimization techniques Data consumption for agentic with Vector databases (e.g., Pinecone, Weaviate, OpenSearch) and embedding models or Knowledge Graph Knowledge of DevOps practices and CI/CD pipelines for AI applications Knowledge of Python with experience in modern frameworks and libraries #LI-LO1