Address
Form of workOptimize Large Language Models LLMs to guide their outputs towards high quality and contextually relevant responses, utilizing domain knowledge. Design comprehensive systems that incorporate 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.
Key Responsibilities
- LLM Optimization Optimize and fine tune Large Language Models LLMs to meet specific domain requirements, ensuring high quality outputs.
- Domain Expertise Utilize domain knowledge to guide the LLMs responses, ensuring contextually relevant and accurate information.
- System Design
- Design and develop comprehensive systems and applications that incorporate LLMs as a core component, ensuring seamless integration and functionality.
- Prompt Formulation Formulate effective prompts and queries for Generative AI models to yield desired responses and behaviors.
- Technology Stack Build end to end applications using a complete technology stack, including front end and back end components, to deliver user friendly and performant solutions.
- Data Management Collect, preprocess, and manage domain specific data to train and fine tune LLMs, enhancing their understanding and performance.
- Adaptation Techniques Apply domain adaptation and fine tuning techniques to LLMs, improving their accuracy and aligning them with specific industry needs.
- Collaboration Collaborate closely with cross functional teams, including data scientists, NLP engineers, software developers, and domain experts, to ensure successful project outcomes.
- Performance Evaluation Conduct rigorous testing and evaluation of LLM driven applications to measure their performance and user satisfaction, making data driven improvements.
Primary
- Full stack Cloud native application development in leading programming languages like Python, Node, C# , Angular.JS, and React.JS
Secondary
- Natural Language Processing NLP
- Large Language Models
- Conversational AI
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