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Realign LLC

Generative AI Engineer

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What they do

A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.

$132,765 / year median in Texas

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Job Description

Generative AI Engineer Realign LLC Irving, TX Job Details Full-time $107,194 a year 13 hours ago Qualifications AI models Data preprocessing Generative models AI platforms (beyond public GPTs) Programming languages Machine intelligence Supervised learning Natural language processing Neural networks Unsupervised learning Machine learning frameworks Feature engineering Generative AI Full Job Description Irving, Texas 75014 Posted September 10th, 2026
Job Type:
Full Time Job Category:
IT Job Description Role:
Generative AI Engineer Location:
Irving, TX (ONSITE)
Exp:
5+ years Full Time Must-Have Programming languages: Python (proficient) with major ML libraries Experience with opensource Gen AI LLMs e.g., Llama and Dolly Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers Generative AI techniques: Experience with GANs, text-to-image generation, text generation models Data wrangling & manipulation: SQL, data cleaning, feature engineering
Hyperscale's :
AWS, Azure, or GCP experience a plus Good-to-Have cloud development projects with CI/CD Experience Key Expectations from the Role 1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains. 2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models. 3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations. 4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs 5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development Required Skills DevOps Engineer Senior Email Security Engineer

Benefits

  • Dental Insurance