AI/ML Engineer (Azure)

Needs Azure AI Foundry experience and a .Net development background.

POSITION OVERVIEW
We are looking for an AI Engineer Consultant with LM application development skills to be an important part of our effort to incorporate the latest innovative AI agentic services into our solutions. We use some of the latest LLMs offered in Azure AI Foundry along with some core foundational technologies such as .NET, SQL Server and Angular. Successful candidates will possess a passion for technology, seeking out and learning the best options for solving problems. The AI Engineer Consultant will often take a lead role in the design and development of AI related features and capabilities with an eye to deliver best in class software.

NOWLEDGE, SKILLS, ABILITIES, AND COMPETENCIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, abilities, and competencies required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Preferred familiarity with, or desire and ability to learn:
  • Web technologies such as HTML, CSS, JavaScript
  • Utilization of technologies such as C#, .Net, and MS SQL Server
  • Model Context Protocol implementation and usage
  • Fine tuning using model distillation for domain specific model adaptation
  • Tools such as Visual Studio (VS), Team Foundation Server (TFS), GIT, etc.
  • Automation testing for quality engineering disciplines such as unit testing, smoke testing, and integration tests
  • Continuous integration and continuous delivery tools (Azure DevOps).
  • Understanding of potential performance, security, scalability and maintainability issues.
• Successful candidates will have substantial knowledge of:
  • Azure AI Foundry, Azure AI Services and Agent frameworks/tools such as Semantic Kernel or LangChain
  • Retrieval Augmented Generation (RAG) with embedding models and vector databases
  • Prompt Engineering techniques for response output customization
  • Service Oriented Architecture (SOA)
  • .Net Framework & .NET Core
  • Web API design and implementation
  • Software patterns (Dependency injection, MVC, etc.)
  • Code management best practices and one or more tools (TFS, Git, etc.)