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Open nowPosted 6 hours agoWe saw it 11 min after it went up

[Job-00023] Senior AI Engineer, Brazil

CI&T211 open roles

Where
Brazil
Work mode
Remote
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Your applicationOpen now[Job-00023] Senior AI Engineer, BrazilCI&T · Brazil

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. CI&T postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 6 hours ago

CI&T median: 4 days open

The posting

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 Senior AI Engineer to design and develop AI-powered solutions that combine Large Language Models (LLMs), document intelligence, and full-stack engineering.

In this role, you will build reliable information extraction pipelines, improve the accuracy and traceability of AI-generated results, and contribute to the evolution of a web application. You will work across AI engineering, model evaluation, and front-end development to deliver scalable solutions that meet business requirements and provide a high-quality user experience.

Responsibilities

  • Design and develop LLM-powered extraction pipelines using techniques such as multi-call consensus, grounding, and value verification to improve accuracy and reliability.
  • Align extracted attributes with the PriCat standard, ensuring data consistency and compatibility with new ERP systems.
  • Evaluate and optimize AI models based on accuracy, cost, and latency, using LLM observability tools to monitor and improve performance.
  • Develop and integrate AI capabilities using Python, Azure OpenAI, LangChain, and Document Intelligence.
  • Build and maintain prompt templates and structured generation workflows using Jinja2.
  • Rebuild and enhance the web application based on the Design team's mockups, using Next.js and React.
  • Implement user-facing features such as PDF grounding views to improve transparency and help users validate extracted information.
  • Support French-speaking users by investigating and resolving issues, delivering fixes, and implementing small features.
  • Develop and maintain automated tests to ensure application quality, reliability, and maintainability.
  • Collaborate with engineering, design, and business stakeholders to translate requirements into effective AI-powered solutions.

Requirements for this challenge

  • Strong experience in software engineering, with a focus on AI engineering and full-stack development.
  • Proficiency in Python and experience building AI-powered applications.
  • Hands-on experience with Azure OpenAI and Large Language Models (LLMs).
  • Experience with LangChain and developing LLM-based workflows or information extraction pipelines.
  • Knowledge of document processing, structured data extraction, grounding, and output validation.
  • Experience evaluating AI solutions against quality, cost, and latency metrics.
  • Familiarity with LLM observability tools, particularly Langfuse.
  • Experience with React and Next.js for front-end development.
  • Familiarity with Jinja2 or similar template-based approaches.
  • Experience implementing automated tests and troubleshooting production applications.
  • Strong analytical and problem-solving skills, with attention to data quality and reliability.
  • Ability to collaborate with multidisciplinary teams and communicate technical concepts clearly.

Nice to Have

  • Experience with Azure AI Document Intelligence or similar document processing technologies.
  • Knowledge of LLM evaluation strategies, multi-step extraction, consensus mechanisms, and grounding techniques.
  • Experience integrating AI-generated data with ERP systems or enterprise data standards.
  • Familiarity with PDF rendering, document annotation, and evidence-based validation interfaces.
  • Experience supporting international users or working in multilingual environments.
  • Knowledge of AI application monitoring, tracing, and continuous improvement practices.

#LI-GP1

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.

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