Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Charlotte, NC, with a contract length of 12+ months, hybrid work (3 days onsite). Required skills include MS Fabric, Power Automate, LLM technologies, and experience with Azure OpenAI and REST APIs.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
592
-
πŸ—“οΈ - Date discovered
September 10, 2025
πŸ•’ - Project duration
More than 6 months
-
🏝️ - Location type
Hybrid
-
πŸ“„ - Contract type
W2 Contractor
-
πŸ”’ - Security clearance
Unknown
-
πŸ“ - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Azure #REST (Representational State Transfer) #Automation #Langchain #GCP (Google Cloud Platform) #Power Automate #REST API #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Dataverse
Role description
β€’ β€’ β€’ W2 Only β€’ β€’ β€’ AI Engineer Charlotte NC 12+ Months Hybrid – Onsite 3 Days per week Required Skills : o Design and deliver AI solutions within MS Fabric o Power Automate o CoPilot, studio o LLM technologies, Azure OpenAI o Rest APIs and external data o Hyperscaler AI services (any) Key Responsibilities β€’ Design and deliver end-to-end automation and AI agent solutions using Microsoft Power Platform (Power Apps, Power Automate, Dataverse), Copilot Studio, and pro-code technologies. β€’ Build agentic AI systems leveraging LLMs, reasoning engines, memory components, and orchestration frameworks such as LangChain, Semantic Kernel, or Azure AI Foundry. β€’ Develop custom AI agents capable of planning, reasoning, and interacting across systems via APIs, tools, and multi-turn conversations. β€’ Create and maintain AI-powered business applications that integrate user input, enterprise data, and intelligent responses to enhance productivity and decision-making. β€’ Integrate with external APIs and services, including Microsoft Graph, RESTful endpoints, and hyperscale AI platforms (Azure, AWS, GCP). β€’ Partner with stakeholders to identify opportunities, gather requirements, and deliver solutions aligned with strategic objectives. β€’ Stay up to date on advancements in generative AI, LLMs, and prompt engineering to drive innovation and recommend modern approaches. β€’ Drive team modernization. Build and transfer knowledge. Create reusable playbooks and processes to embed transformed capabilities across the team. Assist other individuals in advanced software development.