This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Agent Developer based in Mexico.

This role offers the opportunity to design and deliver intelligent AI agents that transform how users interact with enterprise systems.
You will build conversational experiences that automate tasks, answer questions, and execute complex business workflows.
Working with Microsoft Copilot Studio and modern generative AI technologies, you will connect agents to data, applications, APIs, and knowledge sources.
You will develop RAG solutions that make enterprise information more accessible, relevant, and actionable.
The role combines hands-on development with solution design, production support, governance, and continuous optimization.
You will work closely with business stakeholders to identify high-value automation opportunities and turn them into scalable AI solutions.
This is an ideal opportunity for an AI-focused developer who enjoys applying emerging technologies to practical enterprise challenges.

• Design, develop, configure, and deploy AI agents using Microsoft Copilot Studio and related generative AI technologies.
• Build conversational experiences capable of answering user questions, automating tasks, and executing business workflows.
• Integrate AI agents with enterprise applications, APIs, databases, SharePoint, Microsoft 365, and third-party platforms.
• Develop, implement, and optimize Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Create and manage Power Automate workflows and AI-enabled business processes to improve operational efficiency.
• Configure agent topics, actions, plugins, connectors, orchestration logic, and other components required for effective agent experiences.
• Apply appropriate governance, security, compliance, and responsible AI practices throughout the development lifecycle.
• Monitor agent performance, adoption, usage metrics, and response quality, using insights to drive continuous improvements.
• Partner with business stakeholders to identify automation opportunities, define AI use cases, and translate business needs into technical solutions.
• Support production deployments, troubleshoot issues, and maintain the reliability and operational performance of AI solutions.

• Experience working with generative AI concepts and technologies, including Large Language Models (LLMs), prompt engineering, RAG architectures, AI agent design, conversational AI, and Natural Language Processing (NLP).
• Hands-on experience with Microsoft Copilot Studio is preferred, along with familiarity with Microsoft 365 Copilot.
• Strong programming capabilities in Python and JavaScript/TypeScript, with knowledge of REST APIs and JSON.
• Experience with modern front-end technologies such as Angular or React, with additional familiarity with Java considered valuable.
• Knowledge of Microsoft Azure, Azure OpenAI, and Azure AI Services.
• Experience working with SQL Server and enterprise data environments.
• Understanding of AI agent architecture, integrations, connectors, orchestration, and enterprise workflow automation.
• Ability to design secure, scalable, and maintainable AI solutions that align with organizational governance and compliance requirements.
• Strong analytical and problem-solving skills, with the ability to troubleshoot AI solutions and continuously improve their effectiveness.
• Excellent communication and collaboration skills, with the ability to work effectively with technical teams and business stakeholders.
• A proactive mindset and enthusiasm for emerging AI technologies, experimentation, automation, and solving complex business problems.

• Contract opportunity with a focus on enterprise AI and intelligent automation.
• Opportunity to work with Microsoft Copilot Studio, Azure OpenAI, RAG, LLMs, and modern AI agent technologies.
• Exposure to enterprise-scale integrations involving Microsoft 365, SharePoint, APIs, databases, and third-party platforms.
• Remote work flexibility.
• Opportunity to contribute to practical AI use cases that improve business processes and operational efficiency.
• Hands-on experience across AI development, cloud technologies, automation, governance, and production operations.