AI Engineer (Rag Knowledge Fabric)

LTM • Design & Creative • Information Technology • 1 day ago
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Salary
≈ $125k – $239k per year (Estimated)
Location
In office (Irving)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 9, 2026. LTM scores B on the Alion truth index.

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LTM

LTM (formerly LTIMindtree) is a prominent global technology consulting and digital solutions enterprise that delivers comprehensive IT, cloud, and business transformation services to multinational corporations. Headquartered in Mumbai, India, the company operates an extensive international delivery network specializing in artificial intelligence, data engineering, and enterprise systems integration. As a subsidiary of the industrial conglomerate Larsen & Toubro, it partners with leading organizations across sectors such as banking, healthcare, and manufacturing to drive operational efficiency and digital modernization.
ltm.com • HQ: Mumbai, India • Information Technology • Design & Creative • Branding • Creative Agencies • Media & Entertainment • Enterprise Apps Implementation Partners • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Est. 1996
Tech stack of LTM

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 contextaware 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 BlueverseGenAIAgentic AIPlatform 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 crossfunctional 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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