AI Application Developer - LLM

About the job

AI Application Developer - LLM - Remote Job Client - 12 months contract


Client need 3-4 roles are open (Visa independent preferred) GC/US- if H1B really strong - Remote (traveling 25%)
(asking 2 weeks in a month or 1 week in month) NY/Chicago boston


AI Application Developer - LLM

Remote Job

12 months contract

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.