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 W2Job 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:Cloud Platforms:- Azure ML, SageMaker, Vertex AI.
Generative AI:- LLMs (GPT, Llama, etc.).
- RAG (Retrieval-Augmented Generation).
- Prompt engineering and vector databases.
