Job Description

Important Information

Location: Mexico
Job Mode: Full-time
Work Mode: Work from home

As a Fullstack AI Engineer, you will play a key role in the full development lifecycle of a high-impact Generative AI MVP, translating complex architectural requirements into technical solutions. You will be responsible for building the bridge between Azure AI Foundry agents and the end-user, developing robust APIs, integrating RAG (Retrieval-Augmented Generation) pipelines, and implementing a simplified frontend. Beyond technical execution, you will collaborate closely with an AI Specialist and stakeholders to ensure the delivery of an explainable and compliant solution within an Agile framework.

Responsibilities and Duties

• Digest requirements from the architecture and product team to specify the implementation of new features from a fullstack and AI-integration perspective;
• Implement the designed solution from coding to testing, focusing on Azure Functions, API development, and agentic workflows;
• Follow Agile processes and participate actively in all development phases to ensure a functional MVP within 3 months;
• Development of new features, including data connectors for Excel/Word and tool orchestration for LLM agents;
• Design and maintain the application's frontend to provide a seamless interface for "Well Engineers";
• Participate in the complete cycle of development from requirements gathering, RAG data ingestion, to final deployment;
• Participate in technical discussions, demonstrations, and reviews with customers (Halliburton/Petrobras context).

Essential Skills

• Solid Experience with Python (preferred) or Node.js;
• Frameworks: ReactJS for frontend development;
• AI Integration: Experience with LangChain, Semantic Kernel, or similar LLM orchestration frameworks;
• Cloud Knowledge: Solid experience with Azure (Functions, App Service, and Blob Storage);
• API Development: Experience with REST APIs and integrating third-party AI services;
• Data Handling: Experience processing structured and unstructured data (Excel/Word) for AI consumption;
• Solid experience with Git.

Highly Desirable Skills

• Experience with Azure AI Foundry and Azure AI Search;
• Knowledge of Vector Databases and RAG architectures;
• Experience with automated testing (Unit, Integration) for AI-driven applications;
• Familiarity with AI Observability tools (Tracing, Prompt Logging);
• Experience with Tailwind CSS or fast prototyping UI libraries;
• Knowledge of Docker and CI/CD pipelines within Azure DevOps.

Posted On: May 20, 2026

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