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Generative AI Engineer

iPeople Infosystems LLCIrving, TX🇺🇸United StatesPosted 27 Jul 2026

Why This Role Stands Out

Advance your career as a Generative AI Engineer at iPeople Infosystems LLC, where you'll design and implement cutting-edge AI solutions with opportunities for continuous learning and growth in a collaborative hybrid environment. If you have a strong foundation in Python, ML libraries, and generative AI techniques, you'll thrive here, contributing to impactful projects and shaping the future of AI. Apply today to join a dynamic team and explore exciting challenges in the rapidly evolving field of artificial intelligence.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Generative AI Engineer
Location: Irving, TX
Type: Fulltime Position

Job Description

Must Have Technical/Functional Skills

Desired Competencies (Technical/Behavioral Competency)

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
  • Hyperscalers : AWS, Azure, or Google Cloud Platform experience a plus

Good-to-Have

  • On prem and cloud development projects with CI/CD Experience

SN 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

Skills

SQL
AWS
Machine Learning
NLP
Azure
Computer Vision
Deep Learning
Generative AI
Google Cloud
Python

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