AI Expert for Large Language Model Development

7 days ago


Chicago, Illinois, United States Request Technology, LLC Full time

Senior AI Engineer Position

We are seeking a highly skilled Senior AI Engineer to join our team at Request Technology, LLC.

About the Role

This is a full-time position offering a salary of $180,000 - $220,000 per year, depending on experience, with a bonus structure.

Job Description

In this role, you will be responsible for developing and deploying AI solutions using Python, Streamlit, and large language models. You will work closely with stakeholders to implement and automate AI-powered solutions for common business workflows.

Key Responsibilities

  • Design and develop AI solutions for natural language processing and text extraction from documents using PyPDF and Azure Document Intelligence.
  • Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design.
  • Implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases.
  • Fine tune large language models to optimize for domain and cost.
  • Collaborate with stakeholders to ensure successful project outcomes.

Requirements

To be successful in this role, you should have:

  • A Bachelor's degree in Computer Science or related field; Master's degree preferred.
  • At least 5 years of experience in AI engineering at the enterprise level.
  • Strong understanding of large language models and their applications.
  • Experience with distributed computing and cloud environments, such as Microsoft Azure.
  • Excellent problem-solving skills and ability to work independently.

What We Offer

As a Senior AI Engineer at Request Technology, LLC, you will have the opportunity to work on challenging projects, collaborate with a talented team, and grow your career in the AI space.

Location

This position is located in Chicago, IL, and requires occasional on-site work.



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