RE: Azure AI Foundry AI Engineer // Location :: :: Newark, NJ (“onsite”) // Only local candidates

[ABHI PAL]

Hi

Greetings...!  
Hope you are doing well.  

Tittle:    Azure AI Foundry AI Engineer

Location:   Newark, NJ  (“onsite”)

Duration: 6+ months

Pay - $60/c2c - $65/c2c

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) [indeed.com] 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)

 

 

Thanks & Regards!

Ankita Pal

Lead IT Recruiter

Email: ankit...@pacerstaffing.com

[saikr...@meridiansoft.com]

Hi,

Please find below the profile(s):

Name: Kumar
Technology: Data Science
Experience: 13 yrs
Visa: H1B
Location: TX
Relocation: NO, Remote Only

Name: Nehal
Technology: Data Analyst / Data Science
Experience: 12 yrs
Visa: H1T
Location: AR
Relocation: YES



Thanks & Regards,
Sai | Bench Sales Recruiter
saikr...@meridiansoft.com
Desk: (380)388-3683