Large Language Models

March 5

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🗣️ LLM Engineer

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Shuvel

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Shuvel is a digital agency specializing in web design and development with a focus on helping businesses grow through their online presence. The company creates everything from single page applications to full stack applications, ensuring both creativity and functionality in their projects. They emphasize a masterful blend of UI/UX design that transforms digital experiences into interactive and highly responsive solutions. Shuvel also offers SEO and web accessibility services to enhance online visibility and ensure inclusivity for all users. Based in Washington D. C. and Los Angeles, the agency prioritizes delivering quality results and client satisfaction.

11 - 50 employees

🌐 Web 3

🔌 API

☁️ SaaS

📋 Description

• The SME in Large Language Models will be responsible for providing expert guidance on developing, evaluating, writing white papers, and deploying LLMs for various applications such as text generation, sentiment analysis, chatbots, and more. • This role will involve working closely with interdisciplinary teams to align LLM capabilities with business goals and user needs. • Lead the design, development, and optimization of LLMs for diverse applications. • Stay abreast of the latest research and advancements in the field of natural language processing and large language models. • Collaborate with data scientists, engineers, and product teams to define requirements and specifications for LLM applications. • Evaluate existing LLM frameworks and recommend modifications to enhance efficiency and performance. • Conduct training workshops and knowledge-sharing sessions to educate team members on LLM technologies and best practices. • Assist in building and maintaining documentation regarding LLM projects, algorithms, and methodologies. • Implement best practices for model training, fine-tuning, and deployment in real-world scenarios. • Analyze user feedback and experiment data to refine models and improve user experience.

🎯 Requirements

• Extensive experience (5+ years) working with LLMs and natural language processing techniques. • Proficiency in programming languages such as Python and familiarity with libraries like Hugging Face Transformers, TensorFlow, or PyTorch. • Experience with cloud platforms (e.g., AWS, Google Cloud) for deploying ML solutions is a plus. • Previous experience in mentoring or leading AI/ML projects is beneficial.