LLM Technology Lead
Dallas, United States
iLink Digital
About
The Company:
What makes
iLink's offerings unique is the fact that we use
pre-created frameworks, designed to accelerate software
development and implementation of business processes for our
clients. iLink has over 60 frameworks (solution accelerators),
both industry-specific and horizontal, that can be easily
customized and enhanced to meet your current business
challenges.
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.
- 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.
- 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.
- 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.
- 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.
Benefits:
- 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.
Benefits
-
Competitive
salaries
- Medical
Insurance
- Employee
Referral Bonuses
- Performance
Based Bonuses
- Flexible
Work Options & Fun Culture
-
Robust
Learning & Development Programs
- In-House
Technology Training
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data management Engineering LLMs Pipelines Prompt engineering RAG React Security
Perks/benefits: Career development Competitive pay Health care Startup environment
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