| Job Description: |
Role Overview
An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This role requires coding with Python, orchestrating AI models, and adhering to responsible AI standards for enterprise scalability
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
• Python (primary language)
ML frameworks: TensorFlow, PyTorch, Scikit-learn
Data pipelines and preprocessing
Model deployment and MLOps (e.g., MLflow, Docker, CI/CD) [https://urldefense.proofpoint.com/v2/url?u=http-3A__indeed.com&d=DwIGaQ&c=euGZstcaTDllvimEN8b7jXrwqOf-v5A_CdpgnVfiiMM&r=uPVyrU0-wRkYMC7tELyR3Z2KXITAdfezxPfpSF43vug&m=1lSgT-SgSCbZVAT8BtxxIZcLAnJgFO-sdquYBVvm48OOuved_5xNTudf4l44UHuN&s=UQ-8TKNEyIgPStFKwOV9sqipfDHJGOHQxyB6hDS31GE&e=]
Machine learning, deep learning, and statistics
Data modeling and feature engineering
APIs and microservices
Cloud platforms (Azure ML, SageMaker, Vertex AI)
LLMs (GPT, Llama, etc.)
RAG (Retrieval-Augmented Generation)
Prompt engineering and vector databases
Ability to build AI-powered applications (chatbots, agents, copilots)
Skills: Communication~MySQL
Experience Required: 8-10
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