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WINIGENT

WINIGENT

via LinkedIn

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AI Agent Engineer - GitHub CoPilot & Azure AI Foundry

Anywhere
Full-time
Posted 1/7/2026
Verified Source
Key Skills:
TypeScript
React
Node.js
API development
Cloud platforms (AWS)

Compensation

Salary Range

$0K - 0K a year

Responsibilities

Developing full-stack solutions, API integration, and cloud-based data processing.

Requirements

Experience with full-stack development, cloud services, and API design, but lacks specific AI, GitHub, and Azure AI Foundry expertise.

Full Description

We're seeking an AI Agent Engineer to accelerate the development and integration of GitHub Copilot agents and extensions. This role focuses on building AI-native developer experiences by combining GitHub Copilot and Azure AI Foundry. The ideal candidate has demonstrated experience delivering LLM-powered or agentic systems into production, strong collaboration and communication skills, and a proven ability to use modern AI tooling to accelerate software development while maintaining enterprise standards for reliability and scale. Responsibilities Agent Development & Integration • Design, build, and integrate GitHub Copilot agents (Copilot Extensions) using GitHub Apps and Copilot Chat APIs • Develop and operate LLM-powered agent backends leveraging Azure AI Foundry, including tool orchestration and reasoning workflows • Implement agent tools that integrate with GitHub repositories, developer workflows, CI/CD systems, and Azure services Architecture & Deployment • Design scalable agent architectures using Azure serverless (Azure Functions) or containerized deployments (Azure Container Apps, AKS) • Implement event-driven and webhook-based integration patterns for real-time agent responses • Build and maintain CI/CD pipelines for automated agent deployment and versioning • Design for multi-tenant agent deployments that can scale from team-level to organization-wide usage • Implement infrastructure as code (Bicep, Terraform) for reproducible and consistent agent deployments Operations & Quality • Partner with product and engineering teams to move agent solutions from experimentation to production deployment • Apply AI-native development practices to accelerate coding, debugging, and system design • Establish evaluation, monitoring, and quality practices for agent reliability and performance Optimize agent response times, throughput, and cost-per-interaction metrics Required Qualifications • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience • Experience building and integrating GitHub Copilot agents or Copilot Extensions • Strong understanding of GitHub Apps, authentication, webhooks, and GitHub APIs • Proficiency in Python for building LLM-powered agents, tools, and orchestration layers • Hands-on experience with Azure AI Foundry or equivalent Azure AI services • Experience implementing and operating LLM-based or agentic systems in production • Experience deploying applications to Azure using serverless (Functions) or container platforms (Container Apps, AKS) • Understanding of REST API design, event-driven architectures, and microservices patterns • Strong communication skills and ability to collaborate across technical and non-technical teams

This job posting was last updated on 1/9/2026

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