LLM Engineer

This role is for one of the Weekday's clients

We are seeking an LLM Engineer to design, fine-tune, and deploy large language models (LLMs) that drive our AI-powered solutions. In this role, you will collaborate with cross-functional teams to build intelligent, scalable, and efficient systems, enhancing user interactions with our Universal AI Teammate.

Requirements

Key Responsibilities:

• Model Development: Fine-tune and optimize LLMs for various applications and use cases.
• Pipeline Design: Build and maintain robust data pipelines for preprocessing, cleaning, and managing datasets used in training and inference.
• Integration: Work closely with backend engineers to seamlessly integrate LLMs into our product infrastructure, ensuring reliability and scalability.
• Performance Optimization: Implement strategies to enhance efficiency, response time, and accuracy of models in production.
• Research & Innovation: Stay updated on cutting-edge advancements in NLP and deep learning, applying new techniques to improve our AI platform.
• Evaluation & Testing: Develop metrics and benchmarks to assess model performance and ensure high-quality outcomes.

What We’re Looking For:

• Experience: 1+ years of hands-on experience in NLP and large-scale language models.
• Technical Skills:
• Strong proficiency in Python and AI/ML frameworks like TensorFlow and PyTorch.
• Experience with transformer-based architectures (GPT, BERT, LLaMA).
• Familiarity with tools such as Hugging Face, LangChain, or similar libraries.
• Understanding of MLOps for deploying and managing models in production.
• Data Expertise: Experience working with large datasets and applying data preprocessing techniques.
• Problem-Solving: Ability to analyze and solve complex technical challenges related to LLMs.
• Collaboration Skills: Comfortable working with cross-functional teams, including product managers, backend engineers, and designers.
• Research Mindset: Passion for staying ahead of the curve with the latest AI and NLP trends.