Description

Key Responsibilities
• AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry (formerly Azure AI Studio).
• Model Orchestration & Integration: Build and fine-tune large language models (LLMs) and integrate them with business applications, Copilot Studio, and data pipelines.
• Testing & Evaluation: Implement performance and evaluation tooling (such as RAGAS or TruLens) to assess grounding accuracy, reduce hallucinations, and ensure model explainability.
• Infrastructure Management: Develop scalable AI infrastructure and maintain reusable AI components in accordance with engineering best practices (version control, observability, CI/CD
Core Requirements & Skills
• Technical Skills: Proficiency in Python, prompt engineering, and utilizing frameworks like LangChain, Semantic Kernel, or crewAI.
• Cloud Experience: Deep understanding of the Microsoft Azure ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Microsoft Fabric.
• AI Governance: Strong focus on Responsible AI and Model Context Protocol (MCP) to ensure security, privacy, and fairness in model outputs.
• Experience: Typically requires a bachelor’s degree in computer science or a related field, alongside 2-5+ years of software or AI/ML engineering experience

Key Skills

Education

Bachelor's degree