Discovery Village at the West End – IL
Large Language Model (LLM) Scientist
Discovery Village at the West End – IL, Chicago, Illinois, United States,
RESPONSIBILITIES:Kforce has a client that is seeking a Large Language Model (LLM) Scientist in Chicago, IL.
Overview:We are looking for a Large Language Model Scientist with specialized experience in Retrieval Augmented Generation (RAG) to join our team. The candidate will be instrumental in the development, optimization, and deployment of RAG-based LLM Solutions that meets business needs. The candidate will have a deep understanding of Data Science, ML, NLP and LLM fundamentals. The ideal candidate has experience with agent-based prompting techniques (ex: LangChain), API-driven development architectures for AI products LLM, usage of vector databases, and information retrieval pipelines to extract insights. In addition, the candidate should have the ability to listen to and understand business needs to design and create problems to solve specific problems for stakeholders.
REQUIREMENTS:* Mid-Level (5-8 years of experience)* +3 years of Python, ML, AWS Cloud Computing experience* +1 years of experience in NLP and LLMs, with a strong focus on Retrieval Augmented Generation models* Familiarity with AWS Bedrock LLM suite models and associated prompting strategies* Proficiency in Python for data science and AI development* Familiarity with agent-based LLM frameworks (e.g., LangChain)* Experience with AI training frameworks like TensorFlow, PyTorch, and Hugging Face Transformers* Experience with prompt engineering and fine-tuning LLMs for specific applications* Knowledge of vector databases and experience with embedding techniques* Familiarity with DevOps practices, including CI/CD pipelines and containerization tools like Docker and Kubernetes* Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
Preferred Skills:* Use of orchestration tools for AI product development (e.g., ArgoCD)* Ability to create and explain diagrams for data and solution flows to communicate solutions and data/AI processes to team members and internal stakeholders* LLM UI/Frontend Design deployment experience
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Overview:We are looking for a Large Language Model Scientist with specialized experience in Retrieval Augmented Generation (RAG) to join our team. The candidate will be instrumental in the development, optimization, and deployment of RAG-based LLM Solutions that meets business needs. The candidate will have a deep understanding of Data Science, ML, NLP and LLM fundamentals. The ideal candidate has experience with agent-based prompting techniques (ex: LangChain), API-driven development architectures for AI products LLM, usage of vector databases, and information retrieval pipelines to extract insights. In addition, the candidate should have the ability to listen to and understand business needs to design and create problems to solve specific problems for stakeholders.
REQUIREMENTS:* Mid-Level (5-8 years of experience)* +3 years of Python, ML, AWS Cloud Computing experience* +1 years of experience in NLP and LLMs, with a strong focus on Retrieval Augmented Generation models* Familiarity with AWS Bedrock LLM suite models and associated prompting strategies* Proficiency in Python for data science and AI development* Familiarity with agent-based LLM frameworks (e.g., LangChain)* Experience with AI training frameworks like TensorFlow, PyTorch, and Hugging Face Transformers* Experience with prompt engineering and fine-tuning LLMs for specific applications* Knowledge of vector databases and experience with embedding techniques* Familiarity with DevOps practices, including CI/CD pipelines and containerization tools like Docker and Kubernetes* Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment
Preferred Skills:* Use of orchestration tools for AI product development (e.g., ArgoCD)* Ability to create and explain diagrams for data and solution flows to communicate solutions and data/AI processes to team members and internal stakeholders* LLM UI/Frontend Design deployment experience
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