[Job- 31650] Master AI Engineer, Brazil
在 CI&T,我们帮助大型企业将人工智能的潜力转化为真正的商业影响。AI 部署,AI 原生执行和技术集成商业解决方案。在技术转型方面30年的经验,我们通过 Agentic SDLC,应用现代化,数据与 AI,Martech 和商业战略方面的专业知识加速创新。我们有超过25个国家8000名 CI&T 员工,合作构建具有实际影响力的解决方案.AI 已经是我们每天工作,发展和创新的一部分。我们正在寻找有才华的人造人工智能工程师加入我们的团队并建立改变客户如何利用人工智能的 AI 解决方案。在这个角色中,你将在软件工程和人工智能的交叉点工作,设计和实施超越简单 API 集成的复杂生成 AI 系统。你将负责使用先进平台 (如 AWS Bedrock, Gemini, OpenAI SDK 等)构建可扩展的 AI 应用程序,建立 RAG (恢复增强代)管道,实现代理架构以及创造真正营业价值的智能解决方案。作为一个生成 AI 工程师,你将与包括产品经理,数据科学家,解决方案架构师和其他工程师在内的跨功能团队合作,将复杂的业务要求转化为生产准备的 AI 系统。你的工作将直接影响到产品能力,用户体验和客户使用人工智能技术创新的能力。责任:AI 解决方案开发 & 建筑 ·设计,开发和部署通过大语言模型 (LLM) 使用生产准备应用程序,包括 GPT,双子座,克劳德等基础模型。构建和优化能够处理和从大型文件存储库中获取信息的复杂 RAG (Retrieval-Augmented Generation) 架构 · 使用 AWS Bedrock Agents 和 AgentCore 框架实施和调整多代理人工智能系统 ·设计可扩展的 AI 管道,将其与企业系统集成并保持生产规模后端和基础设施开发 ·使用 Python 和现代框架开发强大的后端服务和 API AI 应用程序 ·实现 AI 应用程序容器化和部署策略 ·建立监测和观察性解决方案来跟踪 AI 系统性能,质量和成本 快速发动机
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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
- Backend development experience (Full-stack is a differential)
- 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 and public cloud practices (Desired CI/CD pipelines for AI applications)
- Knowledge of Python with experience in modern frameworks and libraries
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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.