Sr. LLM Engineer - Irving, TX

LTM · Design & Creative · Information Technology · 7 days ago

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Salary

≈ $123k – $237k per year (Estimated)

Location

In office (Irving)

Seniority

Senior

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Sep 25, 2026. LTM scores B on the Alion truth index.

Overview

Company

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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

The LLM Engineer will be responsible for designing building and optimizing enterprise grade AI agents that power the Clients Store Assistant and Equipment Maintenance solutions.

The role focuses on LLM integration prompt engineering agent orchestration RAG pipelines memory management tool calling and AI governance to enable reliable and scalable Agentic AI capabilities

Key Responsibilities

Design and develop Agentic AI solutions including orchestrator agents intent routers memory components AI skills tool integrations and multiagent workflows.

Build and optimize Retrieval Augmented Generation RAG pipelines using vector databases semantic search knowledge retrieval and enterprise content repositories

Develop prompts reasoning frameworks guardrails and agent instructions to improve response quality task completion accuracy and business relevance.

Integrate AI agents with enterprise platforms including Oracle ERP ServiceNow MCP servers APIs business workflows and operational tools.

Implement AI observability tracing evaluation frameworks hallucination mitigation and performance monitoring for production AI systems

Collaborate with Product Managers Data Engineers Business SMEs and AI Architects to continuously improve agent effectiveness and business outcomes

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