Full Stack Model Developer (large language model- (LLM))
: Job Details :


Full Stack Model Developer (large language model- (LLM))

ClifyX

Location: All cities,NY, USA

Date: 2024-05-17T06:47:32Z

Job 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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