More jobs:
AI Engineer; Rag Fabric)
Job in
Irving, Dallas County, Texas, 75016, USA
Listed on 2026-10-25
Listing for:
LTM
Full Time
position Listed on 2026-10-25
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
AI Engineer Rag Knowledge Fabric Own the RAG and Knowledge Fabric ecosystem ensuring AI agents can securely discover retrieve and use enterprise knowledge from multiple systems to deliver accurate explainable and context aware recommendations for store operations equipment maintenance and business workflows
Job Summary Seeking a Specialist with 5 to 7 years of experience to design and implement advanced Agentic AI solutions leveraging Prompt Engineering and Retrieval Augmented Generation within the Blueverse
GenAIAgentic AI Platform domain
Job Description Design and develop scalable AI agent workflows using the Agentic Framework Utilize prompt engineering techniques to enhance AI agent interaction quality and task accuracy Build and optimize Retrieval Augmented Generation RAG pipelines for effective knowledge retrieval and semantic search Collaborate with cross functional teams to integrate AI agents seamlessly into enterprise platforms and business workflows Monitor and evaluate AI agent performance to ensure reliability and continuous improvement Stay abreast of emerging trends and advancements in Agentic AI and GenAI technologies within the Blueverse ecosystem
Roles and Responsibilities Architect and implement multiagent orchestration frameworks to support complex AI workflows
Develop and maintain AI agents using the Agentic Framework to address specific business use cases
Design and optimize RAG pipelines leveraging vector databases and enterprise content repositories
Perform prompt engineering to create reasoning frameworks guardrails and agent instructions that improve response quality
Integrate AI agents with enterprise systems ensuring interoperability with APIs ERP and operational tools
Implement observability tracing and performance monitoring solutions to maintain AI system reliability
Collaborate closely with product managers data engineers AI architects and business stakeholders to align AI initiatives with organizational goals
Drive innovation by researching and applying the latest techniques in Agentic AI and prompt engineering
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