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:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified