Description

Design and maintain autonomous AI agents, RAG pipelines, and scalable infrastructure on Azure.

This role is on-site.

Responsibilities

• Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry.
• Build, fine-tune, and integrate large language models with business applications, Copilot Studio, and data pipelines.
• Implement performance and evaluation tooling (e.g., RAGAS, TruLens) to assess grounding accuracy and reduce hallucinations.
• Develop scalable AI infrastructure and maintain reusable components using version control, observability, and CI/CD.
• Ensure security, privacy, and fairness in model outputs through Responsible AI and Model Context Protocol (MCP) practices.

Required Skills

• Python programming and prompt engineering.
• Experience with frameworks like LangChain, Semantic Kernel, or crewAI.
• Deep understanding of Microsoft Azure, including Azure OpenAI Service and Azure Machine Learning.
• Experience with Microsoft Fabric and data pipeline integration.
• Knowledge of CI/CD pipelines and engineering best practices.
• Understanding of AI governance, model explainability, and MCP.
• Bachelor’s degree in computer science or a related field.
• 10+ years of software or AI/ML engineering experience.

Key Skills

Education

Bachelor's degree