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Mid Level AI Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Motion Recruitment Partners LLC
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

A rapidly growing healthcare technology organization is hiring an AI Developer for a full-time role based in Dallas, TX (hybrid – 3 days onsite, Monday & Thursday required). This position focuses on building intelligent automation and AI-powered copilots using technologies like Azure OpenAI, Copilot Studio, Python, and Power Platform
. 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 )
  • Familiarity with JavaScript or Type Script
  • Experience with CI/CD pipelines and Dev Ops practices
  • Knowledge of data privacy or regulated environments (HIPAA preferred)
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