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Full time || Gen AI Developer || Hybrid -Irving, TX

Pioneer IT Systems LLCIrving, TX🇺🇸United StatesPosted Sep 30, 2026

Why This Role Stands Out

This remote Senior SAP Instructional Designer role offers a significant opportunity to shape a multi-year SAP transformation by developing comprehensive blended learning curricula. You'll thrive here if you have extensive experience designing training for major ERP systems and a passion for leveraging adult learning principles to empower users across diverse SAP modules. Apply now to contribute your expertise to a high-impact project with excellent flexibility.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Irving, TX, United States
Posted
6 days ago
FastAPIFlaskMicroservicesAWSMachine LearningNumPyAgileAzureGenerative AIGoogle CloudHugging FaceLLMPandasPyTorchPythonTensorFlow

Job Description

Job Description:

Top Skills:

  • Data Engineer
  • Python

Responsibilities:

  1. Design and develop Generative AI applications using Python, including chatbots, AI assistants, and intelligent automation solutions.
  2. Build and integrate LLM-based solutions (OpenAI, Hugging Face, or similar models) and implement techniques such as prompt engineering and RAG pipelines.
  3. Develop and maintain scalable backend services, APIs, and microservices using Python frameworks such as FastAPI or Flask.
  4. Collaborate with data scientists, ML engineers, and product teams to design AI-driven solutions and deploy them in production environments.
  5. Optimize AI models, troubleshoot performance issues, and ensure secure and reliable deployment of AI applications on cloud platforms.

Qualifications

  1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  2. 5+ years of experience in Python development, with strong knowledge of backend development and API design.
  3. Hands-on experience with Generative AI, LLMs, prompt engineering, or AI frameworks such as LangChain, Hugging Face, or similar tools.
  4. Experience with machine learning libraries (PyTorch, TensorFlow, NumPy, Pandas) and data processing techniques.
  5. Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform), CI/CD pipelines, and Agile development methodologies.

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