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    Full Stack Model Developer - New York, United States - ClifyX

    ClifyX
    ClifyX New York, United States

    6 days ago

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    Description

    Position : Full Stack Model Developer

    Location : Remote (NY/Chicago IL/ Boston MA)

    Contract

    JOb description :

    • Develop large language model (LLM)-based applications using opensource frameworks like Semantic Kernel, Lang Chain, Llama Index.
    • Build, train, and fine tune LLMs to improve performance, accuracy and alignment of the general-purpose models.
    • Develop and integrate LLMs and/or LLM applications into products and services. Design, develop, and optimize Artificial Intelligence (AI) prompts.
    • Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent based on the technical design.

    The work:

    • Implement Large Language Models (LLMs) into full-stack applications, ensuring seamless integration and tailoring the capabilities of LLMs to meet specific application needs.
    • Create detail design for system components that leverage LLMs or LLM applications.
    • Formulate effective prompts for Generative AI models and develop applications using a complete technology stack.
    • Apply domain-specific data and techniques for domain adaptation. Enhance model accuracy and effectiveness through fine-tuning.
    • Developing solutions for ethical usage of AI and adherence to industry standards and regulations under the guidance of LLM SME and Technical Leads.
    • Integrating analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations.
    • Developing and executing comprehensive testing plans for AI applications.
    • Collaborate in developing DevOps and MLOps pipelines for application and model deployment.
    • Monitor application performance, identify optimization opportunities, and implement solutions to enhance efficiency and scalability.
    • Address and resolve technical incidents, troubleshoot both front-end, back-end and LLM integration issues.
    • Exploring emerging technologies and their potential integration into business solutions.
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