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AL

AI Engineer

Artech LLC
  • 🇺🇸 United States
  • On-site
  • 5 hours ago
  • $55 – $58 / hour
  • AI
  • Azure AI
  • Foundry
  • Machine Learning
  • RAG
  • Python
  • Large Language Models
  • Copilot Studio
  • CI/CD
  • LangChain
  • Semantic Kernel
  • CrewAI
  • Azure
  • Azure OpenAI
  • Microsoft Fabric
  • Model Context Protocol
  • MCP
  • AI/ML
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Data Modeling
  • MLOps
  • MLflow
  • Docker
  • Microservices
  • Azure ML
  • Vertex AI
  • GPT
5 hours ago
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Job Title:AI Engineer
Location: Newark, NJ (Hybrid – 3 days onsite)
Duration: 6 months


Salary Range: $56.00 - $58.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2

Job Description:
Candidate Requirements:
  • Microsoft Certified: Azure AI Engineer Associate or Azure AI Apps and Agents Developer Associate will be given priority compared to other candidates.
  • If the candidate is certified, include the respective Microsoft Certification link in the resume. Without that certificate credential, the certification is not 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.
  • 7+ years in Microsoft Azure.
Programming & Machine Learning:
  • Python (primary language).
  • ML frameworks: TensorFlow, PyTorch, Scikit-learn.
  • Data pipelines and preprocessing.
  • Machine learning, deep learning, and statistics.
  • Data modeling and feature engineering.
Model Deployment & MLOps:
  • Model deployment and MLOps (e.g., MLflow, Docker, CI/CD).
Development & Integration:
  • APIs and microservices.
Cloud Platforms:
  • Azure ML, SageMaker, Vertex AI.
Generative AI:
  • LLMs (GPT, Llama, etc.).
  • RAG (Retrieval-Augmented Generation).
  • Prompt engineering and vector databases.

AI Engineer · Artech LLC

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