Mid Level AI Engineer
Kelly Services Inc.
Dallas, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Dallas, United States of America
Tech stack
JavaScript
Artificial Intelligence
User Authentication
Azure
C Sharp (Programming Language)
Cloud Engineering
Computer Programming
Data Hub
Data Infrastructure
DevOps
Python
OAuth
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)