Senior AI Developer / AI Engineer (Azure AI & Agentic AI)

IT Managers, Inc.

Taguig

Hybrid

PHP 1,200,000 - 2,400,000

Full time

3 days ago
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Job summary

IT Managers, Inc. is seeking a Senior AI Developer to design and implement AI agents in an Azure-based enterprise environment.

You will build, configure, and integrate MCP servers to enable agents to interact with enterprise systems, data sources, and tools, while leveraging Azure AI Foundry to deploy and monitor AI-powered applications. The role requires hands-on AI engineering experience, knowledge of LLM integrations and automation workflows, and collaboration with cross-functional teams to

Qualifications

  • Senior-level software/AI engineering experience.
  • Hands-on Azure and Azure AI Foundry expertise required.
  • Experience building AI agents and MCP servers.
  • Proficient in programming, scripting, and web apps.

Responsibilities

  • Design, develop, and implement AI agents within an Azure-based enterprise environment.
  • Build, configure, and integrate MCP servers to enable AI agents to interact with enterprise systems, tools, and data sources.
  • Utilize Azure AI Foundry to develop, deploy, manage, and monitor AI-powered applications and agents.
  • Leverage AI development tools such as Microsoft Copilot and Claude to improve development workflows and productivity.
  • Develop web applications and integrate AI capabilities into existing systems and business solutions.
  • Work with existing AI frameworks and architectures to extend and customize agent functionalities.
  • Develop scripts, APIs, and supporting components required for AI integrations and automation.
  • Collaborate with technical teams and stakeholders to identify opportunities for AI-driven solutions.
  • Ensure the security, scalability, reliability, and performance of AI applications in an enterprise environment.

Skills

Azure
AI development
JavaScript/TypeScript
Cloud architecture
Problem solving

Tools

Azure AI Foundry
MCP servers
REST APIs
LLM integrations

Job description

We are looking for a Senior AI Developer / AI Engineer with strong hands-on experience in Microsoft Azure and Azure AI Foundry to develop and implement AI-powered solutions in an enterprise environment. The successful candidate will work on building and integrating AI agents and Model Context Protocol (MCP) servers, leveraging existing frameworks and tools to develop scalable AI applications and intelligent automation solutions.

Key Responsibilities:
  • Design, develop, and implement AI agents within an Azure-based enterprise environment.
  • Build, configure, and integrate MCP servers to enable AI agents to interact with enterprise systems, tools, and data sources.
  • Utilize Azure AI Foundry to develop, deploy, manage, and monitor AI-powered applications and agents.
  • Leverage AI development tools such as Microsoft Copilot and Claude to improve development workflows and productivity.
  • Develop web applications and integrate AI capabilities into existing systems and business solutions.
  • Work with existing AI frameworks and architectures to extend and customize agent functionalities.
  • Develop scripts, APIs, and supporting components required for AI integrations and automation.
  • Collaborate with technical teams and stakeholders to identify opportunities for AI-driven solutions.
  • Ensure the security, scalability, reliability, and performance of AI applications in an enterprise environment.
Qualifications:
  • Senior-level experience in software development, AI development, or AI engineering.
  • Hands-on experience with Microsoft Azure and Azure AI Foundry is mandatory.
  • Experience building, configuring, and operating AI agents in an enterprise environment.
  • Practical experience developing or integrating Model Context Protocol (MCP) servers.
  • Proficiency in programming, scripting, and web application development.
  • Experience using AI-assisted development tools such as Microsoft Copilot and Claude.
  • Familiarity with AI agent frameworks, LLM integrations, APIs, and automation workflows.
  • Understanding of enterprise application architecture, security, and system integration.
  • Strong analytical, problem-solving, and technical troubleshooting skills
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