Description

Design and deploy Generative AI solutions on Azure using Microsoft Semantic Kernel and AutoGen while managing scalable cloud infrastructure.

This role is on-site.

Responsibilities

• Develop Generative AI applications using Microsoft Semantic Kernel, AutoGen, and Agentic Frameworks.
• Build and maintain secure, scalable cloud infrastructure on Azure.
• Automate deployment pipelines and manage infrastructure as code using Terraform, CloudFormation, or ARM templates.
• Integrate AI models into software products and collaborate with cross-functional teams.
• Monitor, troubleshoot, and optimize AI and cloud systems for performance and reliability.

Required Skills

• 7+ years of professional engineering experience.
• Hands-on expertise with Microsoft Semantic Kernel, AutoGen, and Agentic AI tools.
• Strong Python programming skills, including agent behavior control, reasoning, and task decomposition.
• Deep knowledge of Azure cloud infrastructure, including deployment, networking, and security.
• Experience with Infrastructure as Code (Terraform, CloudFormation, or ARM templates).
• Proficiency in CI/CD pipelines and container orchestration with Docker and Kubernetes.
• Any Graduate degree.

Preferred Skills

• Strong analytical and problem-solving skills with a focus on continuous learning.

Key Skills

Education

Any Graduate