Generative AI Engineer: Enterprise LLMs & RAG Pipelines

Robotics Technologies LLC

Plano (TX)

On-site

USD 120,000 - 160,000

Full time

2 hours ago
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Job summary

Robotics Technologies LLC is seeking an experienced Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Python, and cloud technologies.

You will build RAG pipelines, work with OpenAI, Azure OpenAI, and Hugging Face models, and implement prompt engineering plus LLM fine-tuning to deliver enterprise-ready AI solutions. Collaborate with data scientists and development teams to optimize performance and monitor deployments.

Qualifications

  • Equal opportunity employer; hiring based on merit, competence, performance, and business needs. No discrimination based on race, color, religion, marital status, age, national origin, ancestry, disability, pregnancy, genetics, gender, sexual orientation, or other protected status.

Responsibilities

  • Design and develop Generative AI applications using Python and LLMs.
  • Build RAG pipelines and integrate vector databases.
  • Work with OpenAI, Azure OpenAI, and Hugging Face models.
  • Implement prompt engineering and LLM fine-tuning.
  • Develop AI agents using LangChain and LangGraph.
  • Integrate AI solutions with enterprise applications and REST APIs.
  • Optimize model performance, accuracy, and response quality.
  • Deploy and monitor AI applications using AWS or Azure.
  • Collaborate with data scientists and development teams.

Skills

Python Programming

Job description

Robotics Technologies LLC is seeking an experienced Generative AI Engineer to design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs), Python, and cloud technologies.

You will build RAG pipelines, work with OpenAI, Azure OpenAI, and Hugging Face models, and implement prompt engineering plus LLM fine-tuning to deliver enterprise-ready AI solutions. Collaborate with data scientists and development teams to optimize performance and monitor deployments.

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