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.