Generative AI Engineer — Enterprise LLM Solutions

Pb Consulting; Grand Prairie (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Pb Consulting seeks a skilled Generative AI Engineer to design, develop, and deploy enterprise AI solutions. The ideal candidate will be proficient in Python and ML frameworks, with hands-on experience with LLMs such as Dolly-like models and open-source ecosystems.

You will collaborate across disciplines to translate business needs into scalable AI capable of data-rich decision support, automation, and responsible AI practices, with cloud integration and rigorous model evaluation.

Qualifications

• Degree in CS/AI/DS/Engineering or related field.
• Experience designing and deploying enterprise Generative AI solutions.
• Ability to work in cross-functional teams in an agile environment.

Responsibilities

• Design, develop, and implement advanced Generative AI solutions.
• Collaborate with engineers, product managers, and stakeholders to translate needs into AI systems.
• Prepare data for training, fine-tuning, and evaluation of models.
• Develop and optimize ML/DL/NLP models for enterprise apps.
• Deploy Generative AI using LLMs, text generation, and image generation techniques.
• Evaluate architectures, hyperparameters, and performance metrics.

Skills

Python proficiency

LLMs experience

ML/DL/NLP knowledge

Generative AI techniques

Data preprocessing and SQL

Model evaluation and tuning

Analytical and communication skills

Education

Bachelor's or Master's in CS/AI/DS/Engineering

Tools

PyTorch

TensorFlow

Scikit-learn

Hugging Face Transformers

Job description

Pb Consulting seeks a skilled Generative AI Engineer to design, develop, and deploy enterprise AI solutions. The ideal candidate will be proficient in Python and ML frameworks, with hands-on experience with LLMs such as Dolly-like models and open-source ecosystems.

You will collaborate across disciplines to translate business needs into scalable AI capable of data-rich decision support, automation, and responsible AI practices, with cloud integration and rigorous model evaluation.