AI Solutions Engineer
New
Based in MexicoFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English (C1 or higher)
- Experience
- Minimum 3 years
- Required Skills
- PythonAgileCloud ComputingC#Prompt EngineeringGenerative AI
Requirements
- Minimum 3 years of experience as an AI Solutions Engineer or similar role focused on OCR, Intelligent Document Processing (IDP), or document automation.
- Strong experience designing and implementing document extraction and automation solutions using AI technologies.
- Solid hands-on experience with Microsoft Azure AI ecosystem, including Azure AI Document Intelligence, Azure AI Content Understanding, Azure OpenAI, and Azure Functions.
- Experience with Microsoft Graph API for accessing, managing, and extracting data from SharePoint and related systems.
- Practical experience using Claude, Claude Code, or similar AI-assisted development tools.
- Strong knowledge of Generative AI architecture design and implementation.
- Proficiency in Python and/or C# for backend and AI solution development.
- Experience building cloud-based data pipelines and integrating distributed services.
- Strong understanding of prompt engineering for classification, extraction, and structured output generation.
- Experience working in Agile environments (Scrum/Kanban).
- Advanced English proficiency (C1 or higher).
- Strong analytical thinking, problem-solving skills, and attention to detail.
Responsibilities
- Design and implement AI-powered solutions for intelligent document processing and information extraction from complex documents.
- Build and optimize data extraction pipelines using LLMs, prompt engineering techniques, and Azure AI services.
- Develop and integrate generative AI architectures for document understanding and structured data generation.
- Work with cloud-based services (especially Microsoft Azure) to deploy scalable and secure AI solutions.
- Integrate tools such as Claude/Claude Code and similar AI-assisted development platforms into solution workflows.
- Collaborate with agile teams to define architecture standards, development best practices, and solution quality benchmarks.
- Leverage Microsoft Graph API for document discovery, retrieval, and metadata extraction from platforms such as SharePoint.
- Build and maintain robust APIs, data pipelines, and backend services using Python and/or C#.
- Ensure solutions are production-ready, scalable, secure, and aligned with enterprise-grade requirements.
- Document architectures, workflows, and technical decisions to ensure clarity and maintainability.
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