Azure AI Engineer (Azure AI Foundry & Gen AI)
Summary
Build and deploy AI agents and GenAI solutions using Azure AI Foundry, OpenAI, and LangChain, focusing on RAG pipelines, copilots, and agentic workflows.
Responsibilities
- Design, develop, and deploy AI agents and end-to-end GenAI solutions to solve complex business and engineering challenges
- Collaborate with domain experts and stakeholders to understand processes and translate requirements into AI-driven solutions
- Build and integrate solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, Azure Machine Learning, AI Search, and Cognitive Services
- Develop Retrieval-Augmented Generation (RAG) pipelines, AI copilots, chatbots, and agentic workflows leveraging enterprise knowledge sources
- Implement prompt engineering, tool/function calling, workflow orchestration, and multi-agent frameworks using LangChain, Semantic Kernel, or similar technologies
- Deploy, monitor, and optimize AI applications in production while ensuring security, governance, scalability, and performance
- Establish LLMOps/MLOps practices for model deployment, evaluation, monitoring, and continuous improvement
Requirements
- Strong programming skills in Python
- Hands‑on experience with Azure AI ecosystem (Azure OpenAI, Azure AI Foundry, Azure ML, AI Search, Cognitive Services)
- Experience building LLM‑based applications, AI agents, RAG solutions, and GenAI‑powered applications
- Knowledge of prompt engineering, vector databases, semantic search, and orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
- Strong analytical, problem‑solving, and stakeholder management skills
- Familiarity with cloud‑native development, APIs, and MLOps/LLMOps practices