AI Engineer C2C jobs with AI Azure Foundry at Newark, NJ

Job Title: AI Engineer with AI Azure Foundry Location: Newark, NJ Duration: Contract Key Responsibilities 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. AI & Agent Development: Design autonomous or semi-autonomous AI agents and RAG pipelines using Azure AI Foundry. 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) 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). #J-18808-Ljbffr Tech Mirrors