C2C Opportunity || Azure AI Engineer with Certification || Newark, NJ (No Remote – 3 days in office)
Priya Recruiter
I hope you're doing well.
This is Priya from iFlow Inc.
Review the job description below and let me know your interest by replying to this email with your updated resume and a convenient time to discuss, and you can reach me through email at priy...@iflowglobal.com
LinkedIn URL is mandatory.
Role Name - Azure AI Engineer with Certification
Location: Newark, NJ (No Remote – 3 days in office)
Rate: $60/hr on C2C All Inclusive
Experience Required:11+ Years
Location Preference:
NJ candidates will be given priority compared to candidates from other
locations joining on Day 1. We are open to candidates from other locations who
are willing to relocate; however, NJ-based candidates will be given preference
based on experience.
Certification Requirement:
Microsoft Certified: Azure AI Engineer Associate or Azure AI Apps and
Agents Developer Associate candidates will be given priority over other
candidates. If the candidate is certified, include the respective Microsoft
Certification link in the resume. Without certificate credentials,
certifications will not be accepted.
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.
Skills: AI and Automation ~ Communication
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Priyanka – Account Manager iFlow Inc
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