REI Systems is seeking a mid-senior Full Stack Developer to support FDA modernization and digital transformation initiatives. The role involves designing, developing, integrating, testing, deploying, and supporting secure enterprise applications across the user interface, backend services, APIs, databases, and cloud environments. The ideal candidate combines strong frontend and backend software engineering skills with practical experience building modern web applications, RESTful services, and data integrations, and can independently own complex features while collaborating with architects, product owners, testers, DevOps engineers, database administrators, and business stakeholders. Responsibilities include end-to-end development of secure, scalable enterprise web applications; modernizing existing applications while maintaining enterprise integration standards; troubleshooting defects and performance issues; and delivering production-ready solutions. The position also covers Generative AI and LLM solutions, including RAG, embeddings, and related data pipelines, with emphasis on secure guardrails and human-in-the-loop processes. You will design ingestion and retrieval pipelines for enterprise documents and data sources used by AI/ML use cases; work with relational databases, APIs, document repositories, object storage, and cloud services; and collaborate with data engineers and security teams to ensure data quality, lineage, security, and access controls. Frontend work entails building responsive, accessible interfaces using modern JavaScript/TypeScript frameworks (e.g., R

REI Systems is seeking a mid-senior Full Stack Developer to support FDA modernization and digital transformation initiatives. The role involves designing, developing, integrating, testing, deploying, and supporting secure enterprise applications across the user interface, backend services, APIs, databases, and cloud environments. The ideal candidate combines strong frontend and backend software engineering skills with practical experience building modern web applications, RESTful services, and data integrations, and can independently own complex features while collaborating with architects, product owners, testers, DevOps engineers, database administrators, and business stakeholders. Responsibilities include end-to-end development of secure, scalable enterprise web applications; modernizing existing applications while maintaining enterprise integration standards; troubleshooting defects and performance issues; and delivering production-ready solutions. The position also covers Generative AI and LLM solutions, including RAG, embeddings, and related data pipelines, with emphasis on secure guardrails and human-in-the-loop processes. You will design ingestion and retrieval pipelines for enterprise documents and data sources used by AI/ML use cases; work with relational databases, APIs, document repositories, object storage, and cloud services; and collaborate with data engineers and security teams to ensure data quality, lineage, security, and access controls. Frontend work entails building responsive, accessible interfaces using modern JavaScript/TypeScript frameworks (e.g., R