Gen AI Engineer

Intone Networks

  • Newark, DE
  • 1 day ago

    Highlights

    You will design, develop, and deploy generative AI solutions using on-premises models and infrastructure, working closely with cross-functional teams to build end-to-end GenAI solutions that create new content and insights. Leverage large language models (LLMs), prompt engineering, chatbots, and machine learning technologies to create new content and insights.

    Numbers & Facts

    LocationNewark, DE

    Description

    We are seeking a Generative AI Engineer for a contract role of six months or longer, based in Newark, Delaware. You will design, develop, and deploy generative AI solutions using on-premises models and infrastructure, working closely with cross-functional teams to build end-to-end GenAI solutions that create new content and insights.

    Responsibilities

    • Design, develop, and deploy generative AI solutions using on-premises models and infrastructure
    • Leverage large language models (LLMs), prompt engineering, chatbots, and machine learning technologies to create new content and insights
    • Own projects from conception through production, with hands-on involvement across all stages of the development lifecycle
    • Apply natural language processing techniques for text generation tasks
    • Perform data preprocessing, feature engineering, and work with vector databases to support model development
    • Collaborate with cross-functional teams to design and implement GenAI solutions

    Qualifications

    • Required

    • At least 4 years of hands-on experience with generative AI and AI/ML engineering

    • Strong programming experience in Python

    • Proficiency with LangChain, LangGraph, and Streamlit

    • Data science expertise and experience with AI frameworks

    • Knowledge of natural language processing for text generation

    • Skilled in data preprocessing, feature engineering, and vector databases

    • Demonstrated experience owning and delivering projects from conception to production

    • Traditional AI background

    • Preferred

    • Background or experience in fraud prevention and detection

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