Job Information Large Language Model (LLM) Engineer in United States

Overview is seeking to hire a Large Language Model (LLM) Engineer. As an LLM Engineer at you will be responsible for designing, developing, and optimizing large language models. You will work with some of the most advanced models and frameworks in the industry, including Lemur, LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral. Your expertise in NLP methods and algorithms will drive the creation of robust and scalable AI solutions. What you will do Develop and optimize large language models (LLMs) for various applications Work with advanced open source LLM frameworks, including Lemur, LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral Implement and refine NLP algorithms to improve model performance and accuracy. Collaborate with cross-functional teams to integrate LLM solutions into production systems Conduct research and stay up-to-date with the latest advancements in LLMs and NLP Analyze and enhance the efficiency, scalability, and reliability of current models and systems Design and perform experiments to validate the effectiveness of proposed solutions Document and present technical solutions and methodologies to stakeholders What you need to have Bachelor's Degree and 10 to 12 years of experience; Master's Degree and 8 to 10 years of experience; PhD and 5 to 7 years of experience (in lieu of Bachelor’s degree, 6 additional years of relevant experience) in Computer Science, Electrical Engineering, Computational Social Science, or a related field Proven experience with large language models, particularly Lemur, LLAMA, Jan, GPT-4, WizardLM, Gemini, and Mixtral Strong proficiency in general NLP methods and algorithms with a focus on Transformer Attention based approaches Extensive experience with deep learning frameworks and tools Proficiency in programming languages such as Python, and familiarity with relevant libraries (e.g., TensorFlow, PyTorch, Langchain, Vector Databases like Chroma or Milvus, Transformers, Huggingface) Rigorous understanding of foundational statistical principles relevant to AI and machine learning Experience in developing and optimizing NLP applications (discerning model and use case fit) Strong problem-solving skills and the ability to work independently and in a team Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders What we'd like you to have Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models Experience with data annotation and finetuning of LLMs for domain specific tasking Knowledge of software development best practices, including version control (e.g., Git), unit testing, and continuous integration Projects focused on metrics driven development for deep learning models and/or projects focused on multi agent modeling Publications or contributions to conferences/journals in the field of AI/ML and NLP About is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in Columbia, Maryland, is a public company traded on the NYSE under the symbol BBAI. For more information, visit and follow on LinkedIn: and X: @BigBearai.