Senior AI Engineer

• Design and develop LLM-powered extraction pipelines using multi-call consensus, grounding, and value verification
• Align extracted attributes with the PriCat standard to ensure data consistency and compatibility with new ERP systems
• Evaluate and optimize AI models based on accuracy, cost, and latency
• Use 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 Design team mockups using Next.js and React
• Implement user-facing 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
• Collaborate with engineering, design, and business stakeholders to translate requirements into AI-powered solutions

• 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
• 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

• 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
• Health and well-being team support
• Inclusion specialists and affinity groups
• Support and accommodations for people with disabilities during the selection process