Salary
≈ $52k – $133k per year (Estimated)
Location
Remote (Brazil)
Seniority
Senior
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 9, 2026. CI&T scores A on the Alion truth index.
Overview
Company
Impact
Profile match
CI&T is a Brazilian digital services company founded in Campinas in 1995 that builds software, data platforms and artificial intelligence systems for large enterprises. It works mainly with banks, retailers, consumer goods companies and healthcare providers in Brazil, the United States and Europe, taking on product engineering, cloud modernisation and experience design as long-running delivery engagements. The company listed on the New York Stock Exchange in 2021 and employs several thousand people across delivery centres in Latin America, North America, Europe and Asia.
Backed by MMC
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.
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