LLM Technology Lead

Dallas, TX, United States

Dallas, United States | Posted on 04/18/2024

iLink Digital is aGlobal Software Solution Provider and SystemsIntegrator, delivers next-generation technologysolutions to help clients solve complex businesschallenges, improve organizational effectiveness,increase business productivity, realize sustainableenterprise value and transform your businessinside-out. iLink integrates software systems and developscustom applications, components, and frameworks on the latestplatforms for IT departments, commercial accounts, applicationservices providers (ASP) and independent software vendors(ISV). iLink solutions are used in a broad range of industriesand functions, including healthcare, telecom, government, oiland gas, education, and life sciences. iLink’s expertiseincludes Cloud Computing & Application Modernization, DataManagement & Analytics, Enterprise Mobility, Portal,collaboration & Social Employee Engagement, EmbeddedSystems and User Experience designetc.

What makesiLink's offerings unique is the fact that we usepre-created frameworks, designed to accelerate softwaredevelopment and implementation of business processes for ourclients. iLink has over 60 frameworks (solution accelerators),both industry-specific and horizontal, that can be easilycustomized and enhanced to meet your current businesschallenges.

Requirements Job Description:

We are looking for a highly skilled and experienced LLM Technology Lead to join our team. As the LLM Technology Lead, you will be responsible for fine-tuning foundational models, implementing prompt engineering techniques using React and other technologies, and driving intelligent document processing initiatives using cutting-edge LLMs such as RAG (Retrieval-Augmented Generation). You will also play a key role in optimizing LLM operations and processing pipelines in the Azure cloud environment.

Key Responsibilities:

1. LLM Model Fine-Tuning and Optimization:

Fine-tune foundational LLM models to improve performance and accuracy for specific document processing tasks.

Implement advanced techniques such as prompt engineering to enhance model capabilities and adaptability.

Optimize model hyper-parameters and configurations for efficient processing and resource utilization.

Lead the development and implementation of intelligent document processing solutions using LLM technology.

Utilize RAG (Retrieval-Augmented Generation) and other advanced LLMs to generate high-quality summaries, answers, and insights from large volumes of text data.

Collaborate with data scientists and engineers to integrate LLM-based solutions into document processing pipelines.

3. Technology Stack and Development:

Leverage React and other frontend technologies to build user-friendly interfaces for interacting with LLM-powered document processing systems.

Implement DSP (Digital Signal Processing) techniques as needed for preprocessing and analysis of document data.

Collaborate with backend developers to ensure seamless integration of frontend and backend components.

4. Azure Cloud Infrastructure and Operations:

Design, deploy, and manage LLM processing pipelines in the Azure cloud environment.

Optimize resource allocation, scalability, and performance of LLM operations in Azure.

Monitor system health, performance metrics, and security protocols for LLM-based applications.

5. Team Leadership and Collaboration:

Lead a team of developers, data scientists, and engineers in executing LLM technology projects.

Collaborate with cross-functional teams including product managers, designers, and stakeholders to define project goals and deliverables.

Mentor team members and foster a culture of innovation, learning, and collaboration.

Qualifications:

Master's degree in Computer Science, Artificial Intelligence, or a related field.

8+ years of experience in software development and technology leadership roles, with a focus on document processing and LLM technology.

Strong expertise in fine-tuning LLM models, prompt engineering techniques, and intelligent document processing.

Knowledge in React and other frontend technologies for building user interfaces.

Experience with DSP (Digital Signal Processing) and data preprocessing techniques.

Familiarity with advanced LLMs such as RAG (Retrieval-Augmented Generation) and their applications in document processing.

Hands-on experience with cloud platforms, particularly Azure, and building scalable, cloud-native applications.

Excellent problem-solving skills, communication skills, and the ability to work in a dynamic, collaborative environment.

Competitive salary and benefits package.

Opportunity to work with cutting-edge LLM technology and cloud platforms.

Professional development and growth opportunities.

Collaborative and innovative work environment focused on impactful document processing solutions.

If you have the qualifications and experience to lead LLM technology initiatives and drive innovative document processing solutions, we invite you to apply for this exciting opportunity.

#J-18808-Ljbffr