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[职位-32047] 中级AI工程师

[Job-32047] Mid-Level AI Engineer

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11 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
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。

在CI&T,我们帮助大型企业将AI的潜力转化为实际的业务影响,通过AI部署、AI原生执行以及技术整合的业务解决方案。
拥有30年的技术转型经验,我们在代理SDLC、应用现代化、数据与AI、营销技术及商业战略方面具备专业知识,加速创新。
我们在25多个国家有8000名CI&T员工,协作打造具有实际影响的解决方案。AI已经是我们每天工作、发展和创新的一部分。
我们正在寻找一名中级AI工程师加入交付团队,为全球企业客户构建生成式AI和代理式AI解决方案。
你将与高级工程师、架构师和产品团队紧密合作,从实验到生产构建和演进AI解决方案。该职位涉及使用RAG、AI代理、企业集成、对话式AI和智能流程的动手开发,并由扎实的软件工程实践支持。

你将负责:

  • 开发和演进生成式AI和代理式应用程序。
  • 构建基于RAG的解决方案和企业知识检索组件。
  • 实现与工具、API、数据库和企业系统交互的AI代理。
  • 使用多步骤流程、工具使用和人工介入等编排模式。
  • 集成LLM供应商和云AI服务。
  • 按照良好的软件工程实践设计可维护和可测试的组件。
  • 实现并维护评估、可观测性、安全机制和监控功能。
  • 编写自动化测试并贡献到CI/CD流水线。
  • 在高级团队成员的支持下,排查并改进生产环境中的AI应用。
  • 与工程师、架构师、产品团队和业务利益相关者协作。

必备条件:

  • 强大的Python开发技能和扎实的软件工程基础。
  • 对软件设计原则有良好理解,包括模块化、关注点分离、可测试性、可维护性和清晰接口。
  • 熟悉常见API、服务、异步处理和分布式应用的架构模式。
  • 具备生成式AI和基于LLM的应用开发的实际经验。
  • 能够构建基于RAG的解决方案和/或代理式流程。
  • 熟悉工具使用、函数调用和流程编排模式。
  • 熟练掌握至少一个AI框架或SDK,如LangGraph、LangChain
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 a Mid-Level AI Engineer to join a delivery team building Generative AI and Agentic AI solutions for a global enterprise client.
You will work closely with senior engineers, architects, and product teams to build and evolve AI solutions from experimentation to production. The role involves hands-on development with RAG, AI agents, enterprise integrations, conversational AI, and intelligent workflows, supported by solid software engineering practices.
What you will do:

  • Develop and evolve Generative AI and agentic applications.
  • Build RAG-based solutions and enterprise knowledge retrieval components.
  • Implement AI agents that interact with tools, APIs, databases, and enterprise systems.
  • Work with orchestration patterns such as multi-step workflows, tool use, and Human-in-the-Loop.
  • Integrate LLM providers and cloud AI services.
  • Design maintainable and testable components following good software engineering practices.
  • Implement and maintain evaluation, observability, guardrails, and monitoring capabilities.
  • Write automated tests and contribute to CI/CD pipelines.
  • Troubleshoot and improve AI applications in production with support from senior team members.
  • Collaborate with engineers, architects, product teams, and business stakeholders.

Must-have:

  • Strong Python development skills and solid software engineering fundamentals.
  • Good understanding of software design principles, including modularity, separation of concerns, testability, maintainability, and clean interfaces.
  • Familiarity with common architectural patterns for APIs, services, asynchronous processing, and distributed applications.
  • Hands-on knowledge of Generative AI and LLM-based application development.
  • Ability to build RAG solutions and/or agentic workflows.
  • Familiarity with tool use, function calling, and workflow orchestration patterns.
  • Proficiency with at least one AI framework or SDK such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI Agents SDK, Strands, or similar.
  • Practical knowledge of at least one major LLM provider, such as OpenAI,
  • Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, or similar.
  • Good understanding of embeddings, vector search, and knowledge retrieval concepts.
  • Familiarity with AI evaluation, observability, guardrails, and production monitoring.
  • Ability to integrate AI applications with APIs, databases, and cloud services.
  • Working knowledge of Docker, CI/CD, automated testing, and version control.
  • English proficiency for daily collaboration with international teams.

Nice-to-have:

  • Exposure to multi-agent or long-running agent workflows.
  • Knowledge of Agentic SDLC or developer tooling integrations.
  • Familiarity with knowledge graphs or GraphRAG.
  • Hands-on knowledge of Datadog LLM Observability, LangSmith, OpenTelemetry, or similar platforms.

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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