Full Time

LLM & GenAI Research Engineer job in Chicago, IL - JRG Partners LLC - Boca Raton, FL

JRG Partners LLC

Boca Raton, FL
Posted 17 days ago

LLM & GenAI Research Engineer job in Chicago, IL

Are you passionate about advancing the frontiers of artificial intelligence and natural language processing? We are seeking a skilled LLM & GenAI Research Engineer to join our innovative team in Chicago, IL. This role offers a unique opportunity to work on cutting-edge large language models and generative AI technologies that are transforming industries worldwide. If you thrive in a collaborative research environment and are driven by solving complex AI challenges, this position is perfect for you.

Drive Innovation in Large Language Models and Generative AI

A leading AI-focused company in Chicago is looking for an LLM & GenAI Research Engineer to spearhead the development and optimization of next-generation language models. The ideal candidate will have deep expertise in machine learning, natural language processing, and scalable AI systems. If you are excited by the challenge of pushing the boundaries of generative AI and delivering impactful solutions, join us to shape the future of intelligent technologies.

Key Responsibilities of the LLM & GenAI Research Engineer

Research & Development: Design, develop, and optimize large language models (LLMs) and generative AI systems to advance state-of-the-art natural language processing capabilities. Conduct experiments, analyze model performance, and iterate to enhance accuracy, efficiency, and scalability.

Algorithm Innovation: Develop novel machine learning algorithms and architectures tailored to generative AI applications. Stay updated on the latest AI research and integrate cutting-edge techniques to improve model robustness and creativity.

Data Engineering & Management: Collaborate with data scientists and engineers to curate, preprocess, and manage large-scale datasets essential for training LLMs. Ensure data quality, diversity, and ethical sourcing standards are met.

Model Training & Deployment: Lead the end-to-end lifecycle of AI models from prototyping and