Mid Level AI Engineer

Kelly Services Inc.
Dallas, TX, United States
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence User Authentication Microsoft Azure C Sharp (Programming Language) Cloud Engineering Computer Programming Data Hub Data Infrastructure DevOps Python (Programming Language) OAuth
+13 more
Software Engineering Systems Integration TypeScript Cloud Platform System Microsoft Power Automate Large Language Models Prompt Engineering IT Architecture Uipath Information Technology Api Design Automation Anywhere Powerapps

Requirements

This is an opportunity to join a team actively deploying AI into real business workflows, not just experimenting. The organization is investing heavily in AI to improve operations, patient experiences, and internal systems. They are seeking someone early in their career who has hands-on experience with LLM-based solutions and is eager to grow in a production environment. You’ll gain exposure to enterprise AI architecture, regulated data environments, and modern cloud-based development. Required Skills & Experience

  • 1-3 years of software engineering experience
  • Hands-on experience building AI or LLM-based applications (agents, copilots, RAG pipelines, etc.)
  • Strong programming skills in Python and/or C#
  • Experience with Azure or another cloud platform
  • Knowledge of prompt engineering and retrieval-based systems
  • Experience working with APIs and integrations
  • Bachelor’s degree in Computer Science, Engineering, or related field

Desired Skills & Experience

  • Experience with Microsoft Copilot Studio, Azure AI Foundry, or Azure OpenAI
  • Familiarity with Power Platform (Power Automate, Power Apps, Dataverse)
  • Exposure to RPA tools such as UiPath or Automation Anywhere
  • Understanding of authentication (OAuth, Entra ID)
  • Familiarity with JavaScript or TypeScript
  • Experience with CI/CD pipelines and DevOps practices
  • Knowledge of data privacy or regulated environments (HIPAA preferred)

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