Description

• AI Engineer with expertise in Agentic AI, Generative AI, Model Context Protocol (MCP),
• AI Harnesses, and AI-first Software Development Lifecycle (AI-SDLC) for enterprise .NET and Azure solutions.
• Hands-on experience designing and orchestrating AI agents for requirements engineering, backlog generation, architecture, code development, testing, DevOps, and documentation, while integrating with Azure DevOps, GitHub, Jira, and other enterprise engineering platforms.
• Strong background in RAG, prompt engineering, and cloud-native .NET architectures, with a proven ability to accelerate delivery, improve engineering productivity, and establish governance, quality, and reusable AI engineering assets for large-scale enterprise modernization programs.

Job Responsibilities:

• AI Engineer with expertise in Agentic AI, Generative AI, Model Context Protocol (MCP),
• AI Harnesses, and AI-first Software Development Lifecycle (AI-SDLC) for enterprise .NET and Azure solutions.
• Hands-on experience designing and orchestrating AI agents for requirements engineering, backlog generation, architecture, code development, testing, DevOps, and documentation, while integrating with Azure DevOps, GitHub, Jira, and other enterprise engineering platforms.
• Strong background in RAG, prompt engineering, and cloud-native .NET architectures, with a proven ability to accelerate delivery, improve engineering productivity, and establish governance, quality, and reusable AI engineering assets for large-scale enterprise modernization programs.

Education:

• Bachelor's or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field

Key Skills

Education

Bachelor's or Master's degrees