REI Systems is seeking a mid-senior AI/ML & LLM Engineer to support technology modernization and digital transformation initiatives for the FDA. The engineer will design, develop, evaluate, deploy, and support machine learning and Generative AI solutions that improve data analysis, automate business processes, enhance search and knowledge discovery, and support intelligent decision-making. The ideal candidate combines strong Python, machine learning, and LLM engineering skills with practical experience building production-oriented RAG, NLP, and AI services. This is a hands-on engineer role that requires independently owning complex AI development tasks while collaborating with data engineers, software developers, product owners, architects, cloud engineers, and business stakeholders.

Responsibilities AI/ML Development - Design, develop, test, and implement machine learning and AI solutions to address business and operational requirements. - Develop machine learning models using structured, semi-structured, and unstructured datasets. - Build and maintain reusable Python components, APIs, services, notebooks, and AI/ML pipelines. - Perform data preparation, feature engineering, model training, validation, testing, performance evaluation, and optimization. - Evaluate algorithms, models, and approaches based on accuracy, robustness, performance, scalability, explainability, and business requirements. - Integrate AI/ML capabilities into existing enterprise applications and workflows through well-defined services and APIs. - Develop proof-of-concepts and prototypes and transitio

REI Systems is seeking a mid-senior AI/ML & LLM Engineer to support technology modernization and digital transformation initiatives for the FDA. The engineer will design, develop, evaluate, deploy, and support machine learning and Generative AI solutions that improve data analysis, automate business processes, enhance search and knowledge discovery, and support intelligent decision-making. The ideal candidate combines strong Python, machine learning, and LLM engineering skills with practical experience building production-oriented RAG, NLP, and AI services. This is a hands-on engineer role that requires independently owning complex AI development tasks while collaborating with data engineers, software developers, product owners, architects, cloud engineers, and business stakeholders.

Responsibilities AI/ML Development - Design, develop, test, and implement machine learning and AI solutions to address business and operational requirements. - Develop machine learning models using structured, semi-structured, and unstructured datasets. - Build and maintain reusable Python components, APIs, services, notebooks, and AI/ML pipelines. - Perform data preparation, feature engineering, model training, validation, testing, performance evaluation, and optimization. - Evaluate algorithms, models, and approaches based on accuracy, robustness, performance, scalability, explainability, and business requirements. - Integrate AI/ML capabilities into existing enterprise applications and workflows through well-defined services and APIs. - Develop proof-of-concepts and prototypes and transitio