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[Job- 32285] Senior AI Engineer, Brazil

AI开发工程限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司CI&T
薪资未公开
工作地点Brazil
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Brazil 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

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。我们正在寻找一个经验丰富的 AI 工程师加入我们的近岸团队,参与人工智能驱动的媒体规划平台。在这个角色中,你将专注于开发,评估和改进由大语言模型 (LLM) 驱动的智能 AI 代理。你将与 AWS Bedrock 和现代人工智能技术合作建立可靠的代理工作流程,优化代理行为,实施评价框架,并确保 AI 生成的输出是准确,安全和一致的。你的工作将直接影响生产 AI 解决方案的质量,可靠性和扩展性。责任:·设计,开发和维护使用 Python 和 AWS 服务的 AI 代理和 LLM 驱动应用程序。实现和优化快速工程,代理编制和智能决策工作流程。· 制定评估框架来衡量代理的准确性,可靠性和行为一致性。· 为改变代理行为的性能建立基线,自动化测试和回归验证。· 实施防护和验证机制以确保安全和可靠的人工智能生成输出。· 使用 LLM 开发智能信息检索,过,排名和选择策略。·调查和解决与幻觉,不正确解释和不一致代理响应相关的问题。· 构建结合 LLM 的端到端 AI 功能,将后端 API,文档处理和云基础设施集成。·通过执行跟踪,会议追踪和生产监测提高代理观察性。·与工程和产品团队合作提供可扩展的,准备于生产的 AI 解决方案。·通过实验和可衡量的改进来优化 LLM 性能,延迟和运营成本。要求:· 强大的专业经验在人工智能工程,机器学习工程或软件开发中与生产人工智能应用程序。· 熟练掌握 Python 和 exp

查看英文原文

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 looking for an experienced AI Engineer to join our nearshore team working on an AI-powered media planning platform. In this role, you will focus on developing, evaluating, and improving intelligent AI agents powered by Large Language Models (LLMs). You will work with AWS Bedrock and modern AI technologies to build reliable agentic workflows, optimize agent behavior, implement evaluation frameworks, and ensure AI-generated outputs are accurate, secure, and consistent. Your work will directly impact the quality, reliability, and scalability of production AI solutions.

Responsibilities:

  • Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services.
  • Implement and optimize prompt engineering, agent orchestration, and intelligent decision-making workflows.
  • Develop evaluation frameworks to measure agent accuracy, reliability, and behavioral consistency.
  • Establish performance baselines, automated tests, and regression validation for changes to agent behavior.
  • Implement guardrails and validation mechanisms to ensure safe and reliable AI-generated outputs.
  • Develop intelligent information retrieval, filtering, ranking, and selection strategies using LLMs.
  • Investigate and resolve issues related to hallucinations, incorrect interpretations, and inconsistent agent responses.
  • Build end-to-end AI features integrating LLMs with backend APIs, document processing, and cloud infrastructure.
  • Improve agent observability through execution tracing, session tracking, and production monitoring.
  • Collaborate with engineering and product teams to deliver scalable, production-ready AI solutions.
  • Optimize LLM performance, latency, and operational costs through experimentation and measurable improvements.

Requirements:

  • Solid professional experience in AI engineering, machine learning engineering, or software development with production AI applications.
  • Strong proficiency in Python and experience developing APIs, integrations, and automated tests.
  • Hands-on experience building applications using Large Language Models (LLMs) and agentic AI workflows.
  • Experience with prompt engineering, LLM orchestration, and structured output generation.
  • Experience evaluating LLM outputs, implementing testing strategies, and measuring AI application quality.
  • Understanding of LLM limitations, including hallucinations, response variability, and reliability challenges.
  • Experience with AWS services (Bedrock, Lambda, S3, CloudWatch, or similar).
  • Strong knowledge of software engineering best practices, CI/CD, and cloud-based application development.
  • Strong analytical and problem-solving skills with the ability to troubleshoot complex agent behavior.
  • Advanced or fluent English communication skills (both written and verbal) are essential for collaboration in a remote environment.

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:
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.
Originally posted on Himalayas

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