Generative AI Architect – RAG & Agentic AI (Remote)

Royal Cyber Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Royal Cyber Inc. is seeking an AI Engineer specializing in Generative AI, RAG, and Agentic AI for remote work in the United States.

You will design and deploy enterprise-grade AI solutions, build end-to-end RAG pipelines, and develop robust document-processing pipelines with OCR and complex data handling. You will optimize retrieval, perform LLM evaluation, and ensure secure, scalable AI deployments using LangChain, LangGraph, and vector databases.

Qualifications

• Strong Python skills for API development and data processing.
• Experience building Generative AI apps using LLMs and RAG.
• Hands-on with LangChain, LangGraph, LlamaIndex.
• Familiarity with vector databases and search tech.
• Experience with prompt engineering and structured outputs.
• Knowledge of document processing (PDFs, Word, Excel) and OCR.

Responsibilities

• Design, develop, and deploy enterprise-grade Generative AI applications.
• Build end-to-end RAG pipelines including ingestion and indexing.
• Develop automated document-processing pipelines and OCR integration.
• Implement vector search, retrieval optimization, and semantic search.
• Develop LLM orchestration, tool calling, and context management.
• Monitor, test, and improve AI applications in production.

Skills

Python programming

LLM API development

RAG architecture

LangChain/LangGraph

Vector databases

OCR / document processing

Prompt engineering

Tools

LangChain

LangGraph

LlamaIndex

FAISS

Azure OpenAI

Job description

Royal Cyber Inc. is seeking an AI Engineer specializing in Generative AI, RAG, and Agentic AI for remote work in the United States.

You will design and deploy enterprise-grade AI solutions, build end-to-end RAG pipelines, and develop robust document-processing pipelines with OCR and complex data handling. You will optimize retrieval, perform LLM evaluation, and ensure secure, scalable AI deployments using LangChain, LangGraph, and vector databases.