Description

Design and deploy Generative AI solutions using Microsoft Semantic Kernel, AutoGen, and Agentic Framework. Build cloud infrastructure for AI applications, ensuring scalability and security. Automate deployment pipelines and manage infrastructure as code.

Responsibilities

• Develop Generative AI solutions using Microsoft Semantic Kernel, AutoGen, and Agentic Framework.
• Build and maintain cloud infrastructure on Azure, focusing on scalability, security, and high availability.
• Automate deployment pipelines and manage infrastructure as code using Terraform, CloudFormation, or ARM templates.
• Collaborate with teams to integrate AI models into software products and services.
• Monitor, troubleshoot, and optimize AI and cloud systems for performance and reliability.

Required Skills

• Proven experience with Generative AI frameworks: Microsoft Semantic Kernel, AutoGen, and Agentic AI tools.
• Hands-on expertise with Python programming, including AI agent behavior control, reasoning, and task decomposition.
• Strong background in cloud infrastructure management, specifically Azure (deployment, networking, security).
• Experience with infrastructure as code, CI/CD pipelines, and container orchestration (Docker, Kubernetes).
• 7+ years of professional engineering experience.
• Any Graduate degree.

Preferred Skills

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

Key Skills

Education

Any Graduate