Production-Grade AI Agent Engineer (Azure, Python/C#)

Scan Global Logistics; Hinoba-an; On-site; PHP 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Health insurance

Job summary

Scan Global Logistics in the Philippines seeks an engineer to design, build and operate AI agents on the Microsoft stack, taking them from code to production in a disciplined, test-driven way.

This code-first role uses Python or C# with Azure AI Foundry, Azure OpenAI Service and related SDKs. You will integrate agents with Microsoft Graph, SharePoint and business systems, ensuring guarded, cost-aware production deployments.

Qualifications

• Bachelor's degree in computer science, engineering or equivalent practical experience.
• Azure AI Engineer Associate or Azure Developer Associate certification is a plus.
• At least three years of software engineering experience, including production-ready LLM/agent solutions.

Responsibilities

• Design and build production AI agents in code on Azure AI Foundry and Azure OpenAI Service.
• Implement orchestration, tool and function calling, memory and retrieval-augmented generation with Semantic Kernel or SDKs.
• Integrate agents with Microsoft 365, SharePoint and Line-of-Business systems via Microsoft Graph and custom APIs.
• Establish evaluation sets, guardrails and responsible-AI controls, with monitoring and cost management in production.
• Collaborate with business teams to turn pain points into scoped agent use cases and deliver well-documented, supportable code.

Skills

Python

C#

Azure

AI agent development

Education

Bachelor's degree in Computer Science or Engineering

Tools

Azure AI Foundry

Azure OpenAI Service

Semantic Kernel

Microsoft Graph

SDKs

Job description

Scan Global Logistics in the Philippines seeks an engineer to design, build and operate AI agents on the Microsoft stack, taking them from code to production in a disciplined, test-driven way.

This code-first role uses Python or C# with Azure AI Foundry, Azure OpenAI Service and related SDKs. You will integrate agents with Microsoft Graph, SharePoint and business systems, ensuring guarded, cost-aware production deployments.