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Gen AI Engineer

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: NorthernBase Technologies
Full Time position
Listed on 2026-10-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Northern Base Technologies is seeking a Gen AI Engineer to build AI-enabled workflows and help deploy and maintain AI models across environments, including Production
. This onsite role is based in Irving, TX and offers a salary range of USD 100,000 to 130,000 per year
. The position is geared toward experienced engineers with 8-15 years of relevant background.

What you will focus on
  • AI workflow development for real-world applications
  • Prompt engineering to support reliable Generative AI performance
  • Deployment and maintenance of AI models across all environments, including Production
  • Code review, testing, and documentation to support quality and maintainability
  • Continuous learning in Generative AI related fields
Key skills and experience
  • Strong, hands-on Python knowledge
  • Hands-on experience developing API services in Python using FastAPI and/or Flask
  • Working experience in data processing and AI-enabled workflows using Python
  • Knowledge of LLMs
    , prompt engineering
    , RAG architecture
    , and agentic AI
  • Basic knowledge of hybrid prompting techniques
  • Experience with Generative AI tooling such as Lang Chain
    , Hugging Face
    , and Llama Index
Tools you may work with
  • Python
    , FastAPI
    , Flask
  • Lang Chain
    , Hugging Face
    , Llama Index
  • Gemini LLM
    , Py Torch ,
    Tensor Flow
    , Keras
    , NLP
  • Docker
    , Git
Benefits
  • 401(k)
  • Dental insurance
  • Health insurance
Good to have
  • Working experience with Gemini LLM
  • Hands-on knowledge in machine learning frameworks such as Py Torch ,
    Tensor Flow
    , and Keras
  • Hands-on knowledge in NLP
  • Understanding of model deployment and containerization using Docker
  • Understanding of version control systems, including Git
  • Awareness of AI compliance
    , data privacy
    , and responsible AI principles
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