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Location
In office (Coimbatore)
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 12, 2026. First seen by Alion on Apr 14, 2026. LTM scores B on the Alion truth index.

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LTM

LTM, formerly LTIMindtree, is an Indian IT services and consulting company providing application development, cloud, data engineering, AI, enterprise application implementation and managed services to large enterprises. Headquartered in Mumbai and majority-owned by Larsen & Toubro, it was formed in 2022 by the merger of L&T Infotech, founded in 1996, and Mindtree, and is listed on the BSE and NSE. It hires Salesforce and full-stack developers, data engineers, program managers and software engineers in Bengaluru, Kolkata, Pune and Bellevue, Washington.

Mandatory Skills

MCP Protocol REST API Integration Proficiency in implementing Model Context Protocol MCP servers experience integrating agents with enterprise REST APIs Splunk Dynatrace ServiceNow Ansible

Python Advanced Testing Practices Advanced Python skills including async patterns SDK usage unitintegration testing pytest and secure coding practices for agent tool implementations for Python & development skills

Experience with LangChain LangGraph CrewAI AutoGen

LLM integration with OpenAI Azure OpenAI HuggingFace etc

RetrievalAugmented Generation RAG architecture and vector DBs

REST API integration and async programming in Python

Docker packaging and containerization of AI services

Git JSONYAML handling Linux shell proficiency

Job Description

About the Role

We are seeking a highly skilled AI Developer with strong Python expertise and practical experience developing Agentic AI applications using frameworks such as LangChain LangGraph CrewAI and AutoGen The ideal candidate will build deploy and package multiagent LLM applications that interact with enterprise systems and external APIs

Roles and Responsibilities

Build LLMbased applications using LangChain LangGraph CrewAI or AutoGen

Design intelligent agents tools memory systems and RAG pipelines

Integrate LLMs with enterprise systems through REST APIs connectors and plugins

Use Docker to package and deploy AI agents as microservices

Implement prompt routing context handling and agent state management

Collaborate with DevOps teams to deploy applications in cloudonprem environments

Agent Development Design build test and deploy all 16 GitHub Copilot Agent extensions across Splunk Dynatrace Midrange MRD and ServiceNow domains following agent extension patterns defined by the Tech Lead

MCP Server Integrations Implement and maintain MCP server integrations for all target platforms Splunk SHC KVStore Diag Dynatrace APIs OneAgent ServiceNow CRINCSR MRD call flow process workflow and Active Directory

Prompt Engineering Guardrails Write multiturn prompt chains structured tool definitions and guardrail logic intent classification blastradius limits approval gates for each agent tune agent reasoning for domainspecific accuracy

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