[Job-00023] Senior AI Engineer, Brazil

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 aSenior 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 developLLM-powered extraction pipelines using techniques such as multi-call consensus, grounding, and value verification to improve accuracy and reliability.
• Align extracted attributes with thePriCat 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 usingPython, Azure OpenAI, LangChain, and Document Intelligence.
• Build and maintain prompt templates and structured generation workflows usingJinja2.
• Rebuild and enhance the web application based on the Design team's mockups, usingNext.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 onAI engineering and full-stack development.
• Proficiency inPython and experience building AI-powered applications.
• Hands-on experience withAzure OpenAI and Large Language Models (LLMs).
• Experience withLangChain 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, particularlyLangfuse.
• Experience withReact and Next.js for front-end development.
• Familiarity withJinja2 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 withAzure 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.