Job 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.
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified