Locals only (Please don't share relocation profiles) || AI Engineer || New York, New Jersey, and Dallas, TX
0 views
Skip to first unread message
Savi Technologies LLC
Jun 19, 2026, 12:24:06 PM (yesterday) Jun 19
to idc.recru...@gmail.com
Please share with me suitable profiles.
Role: AI Engineer
Location: Newark, NJ- Hybrid (3 days office)
ROLE_DESCRIPTION -
Linked in URL is mandatory
NJ candidates will be given priority compared to candidates from other locations joining on day 1. We are open for other locations candidates who are willing to relocate but NJ based candidates will be given priority based on our past experience.
Microsoft Certified: Azure AI Engineer Associate or the Azure AI Apps and Agents Developer Associate will be given priority compared to other candidates. If the candidate is certified, request to include the respective Microsoft Certification link in the resume (without that certificate credentials are 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
• 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)
Linked in URL is mandatory
NJ candidates will be given priority compared to candidates from other locations joining on day 1. We are open for other locations candidates who are willing to relocate but NJ based candidates will be given priority based on our past experience.
Microsoft Certified: Azure AI Engineer Associate or the Azure AI Apps and Agents Developer Associate will be given priority compared to other candidates. If the candidate is certified, request to include the respective Microsoft Certification link in the resume (without that certificate credentials are 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
• 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
Reply all
Reply to author
Forward
0 new messages