RAG Knowledge Fabric AI Engineer – Enterprise AI & Ops

LTM; Irving (TX); On-site; USD 130,000 - 140,000; Full time

Benefits offered by this job

Medical plan

401(k) plan with company match

Life Insurance

Vacation and paid holidays

Paternity/maternity leave

Job summary

LTM in Irving, TX seeks an AI Engineer to lead the RAG and Knowledge Fabric ecosystem for secure enterprise knowledge discovery and retrieval across store operations and maintenance workflows.

You will design scalable agent workflows, apply prompt engineering, and optimize RAG pipelines using enterprise content repositories and APIs. Onsite role requiring 5+ years of experience in AI architecture and GenAI techniques.

Qualifications

• 5+ years of experience in AI/engineering
• Experience with RAG pipelines and knowledge fabrics
• Ability to design scalable agent workflows and explainable AI systems

Responsibilities

• Own the RAG and Knowledge Fabric ecosystem to enable secure discovery of enterprise knowledge
• Deliver accurate, explainable, and context-aware recommendations for store ops and maintenance workflows
• Design and develop scalable AI agent workflows using the Agentic Framework
• Apply prompt engineering to improve agent interaction and task accuracy
• Build and optimize RAG pipelines for knowledge retrieval and semantic search
• Architect multiagent orchestration for complex AI workflows
• Develop AI agents based on the Agentic Framework for business use cases
• Integrate AI agents with enterprise systems via APIs and ERP
• Implement observability and performance monitoring of AI systems
• Collaborate with cross-functional teams to deploy AI agents in enterprise platforms
• Stay current with Agentic AI and GenAI advancements in Blueverse ecosystem
• Align AI initiatives with organizational goals with product managers and data engineers

Skills

Agentic Framework

Prompt Engineering

RAG

GenAI

Tools

APIs

ERP

Vector databases

Blueverse Platform

Semantic search

Job description

LTM in Irving, TX seeks an AI Engineer to lead the RAG and Knowledge Fabric ecosystem for secure enterprise knowledge discovery and retrieval across store operations and maintenance workflows.

You will design scalable agent workflows, apply prompt engineering, and optimize RAG pipelines using enterprise content repositories and APIs. Onsite role requiring 5+ years of experience in AI architecture and GenAI techniques.